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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. 18815
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    angel
    -0.80
    roman
    -0.80
    ord
    -0.78
    atom
    -0.75
    gaard
    -0.74
    adem
    -0.74
    hai
    -0.73
    lahoma
    -0.72
    ffen
    -0.70
    opol
    -0.70
    POSITIVE LOGITS
    ISM
    1.37
    IST
    1.28
    BOOK
    1.24
    ABLE
    1.24
    NING
    1.24
    LET
    1.24
    ANCE
    1.23
    OUT
    1.23
    ING
    1.22
    URE
    1.22
    Activations Density 0.190%

    No Known Activations