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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 21205
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    Explanations

    technical details like components and directions described in a physical context

    oai_token-act-pair · gpt-3.5-turbo

    details related to physical features and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aughs
    -0.67
    Asset
    -0.64
    rities
    -0.63
    packages
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    ivals
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    Money
    -0.60
     responsibly
    -0.59
    humans
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    OUP
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    IENCE
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    POSITIVE LOGITS
     protr
    1.00
     diagonal
    1.00
     perpendicular
    0.95
     intersect
    0.93
     circumference
    0.92
     width
    0.91
     diameter
    0.91
     slope
    0.90
     elong
    0.88
     axis
    0.87
    Activations Density 0.746%

    No Known Activations