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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. 12280
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    INDEX
    Explanations

    instances where intent or intention is being expressed

    oai_token-act-pair · gpt-3.5-turbo

    expressions of intention or plans

    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
    cit
    -0.78
    ammy
    -0.70
    aud
    -0.70
    acks
    -0.67
    culture
    -0.65
     Ou
    -0.62
    bury
    -0.62
    aura
    -0.61
    mone
    -0.60
    onym
    -0.60
    POSITIVE LOGITS
    folios
    0.92
    orial
    0.79
    ments
    0.79
    chwitz
    0.73
    EMBER
    0.73
     intend
    0.72
    IAL
    0.70
    awaru
    0.70
    л
    0.70
    ratulations
    0.69
    Activations Density 0.014%

    No Known Activations