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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
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    INDEX
    Explanations

    statements emphasizing a strong majority or consensus

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "overwhelming" and its related contexts

    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
    rint
    -0.86
    ©¶æ
    -0.85
    aunder
    -0.84
    tein
    -0.82
    agate
    -0.80
    sung
    -0.79
     Correction
    -0.77
    olog
    -0.74
    ogy
    -0.74
    eport
    -0.73
    POSITIVE LOGITS
     majority
    1.01
     overwhelming
    0.94
    whelming
    0.88
     force
    0.81
     majorities
    0.76
     reliance
    0.74
     odds
    0.72
     obstacles
    0.72
     obstacle
    0.71
     impetus
    0.71
    Activations Density 0.013%

    No Known Activations