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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. 4-RES-JB
    11. 16188
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    INDEX
    Explanations

    mentions of attempts or opportunities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attempts or opportunities

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

    No Comments

    Negative Logits
    tymology
    -0.83
    abulary
    -0.79
    sle
    -0.77
    Case
    -0.77
    inki
    -0.77
    undai
    -0.76
    merce
    -0.76
    akuya
    -0.75
     streng
    -0.73
    gemony
    -0.73
    POSITIVE LOGITS
    shot
    0.94
     shot
    0.92
    gun
    0.85
     shoots
    0.82
     shoot
    0.81
    nikov
    0.81
    chens
    0.80
     shots
    0.77
    bill
    0.76
     Shot
    0.75
    Activations Density 0.024%

    No Known Activations