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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. 140
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    Explanations

    quotations or reported speech indicated by single quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue within the text

    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
     Vaugh
    -0.69
     conj
    -0.67
    manship
    -0.65
     reprint
    -0.64
     folded
    -0.63
     others
    -0.61
     rank
    -0.60
     sum
    -0.59
     UTC
    -0.58
     statistic
    -0.58
    POSITIVE LOGITS
    Cause
    1.08
    Interstitial
    1.02
    Very
    0.93
    Mech
    0.92
    yss
    0.92
    cause
    0.91
     ',
    0.89
    Pand
    0.88
    taboola
    0.88
    Excellent
    0.87
    Activations Density 0.034%

    No Known Activations