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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. 8-RES-JB
    11. 24574
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    INDEX
    Explanations

    contractions of "do not" with emphasis on prohibition

    oai_token-act-pair · gpt-3.5-turbo

    negative imperatives or advice against certain actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ELD
    -0.74
    plates
    -0.68
    grounds
    -0.67
    currency
    -0.66
    Redd
    -0.65
    venue
    -0.64
    assed
    -0.63
    iday
    -0.62
    DIT
    -0.62
    prof
    -0.61
    POSITIVE LOGITS
     hesitate
    1.18
     forget
    1.17
     underestimate
    1.17
     worry
    1.13
     bother
    1.09
     confuse
    1.00
     fret
    0.88
     misunderstand
    0.88
     Forget
    0.88
     kidding
    0.87
    Activations Density 0.061%

    No Known Activations