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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. 3-RES-JB
    11. 24134
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    Explanations

    complex and detailed aspects of a subject

    oai_token-act-pair · gpt-3.5-turbo

    references to complexity and subtle details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Gutenberg
    -0.74
    ridor
    -0.74
     |--
    -0.70
    ablishment
    -0.68
    \/
    -0.68
    swick
    -0.64
    inators
    -0.63
     Printing
    -0.61
     amen
    -0.61
     Garfield
    -0.61
    POSITIVE LOGITS
     nuances
    1.23
     nuance
    1.07
     delicate
    0.93
     intric
    0.88
     tricky
    0.86
     nuanced
    0.83
     hone
    0.82
     knots
    0.78
    icult
    0.78
    odynamics
    0.77
    Activations Density 0.015%

    No Known Activations