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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. 18525
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    INDEX
    Explanations

    phrases indicating abilities, emotions, or speculative statements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of certainty or assurance

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Kub
    -0.64
    warts
    -0.62
    é¾įå¥ij士
    -0.61
     ransom
    -0.59
    Lenin
    -0.59
     Blitz
    -0.59
     Ruk
    -0.58
    heads
    -0.58
     Respons
    -0.58
     Heads
    -0.57
    POSITIVE LOGITS
     safely
    0.89
    ivably
    0.86
     easily
    0.80
    ibly
    0.79
    ĵĺ
    0.75
    uate
    0.74
    osta
    0.73
    ESE
    0.73
    ouple
    0.70
    ħĭ
    0.70
    Activations Density 0.556%

    No Known Activations