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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

    phrases indicating beliefs or assumptions

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating belief or perception regarding various subjects

    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
    avanaugh
    -0.70
    fortunately
    -0.65
    ongyang
    -0.64
    ipeg
    -0.63
    uctor
    -0.63
    etime
    -0.62
     vow
    -0.61
    rones
    -0.60
     Capitals
    -0.60
     Wid
    -0.59
    POSITIVE LOGITS
    leeve
    1.00
     regarded
    0.84
    hemoth
    0.82
     influenced
    0.81
     judged
    0.81
     reckoned
    0.80
     able
    0.80
     accounted
    0.78
    fit
    0.77
     considered
    0.76
    Activations Density 0.109%

    No Known Activations