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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. 12337
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    Explanations

    words related to intense interest or fascination

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with fascination and obsession

    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
    stood
    -0.67
     helicop
    -0.63
    err
    -0.62
    ãģ®å
    -0.62
     judgement
    -0.62
     actu
    -0.61
     setbacks
    -0.61
     testament
    -0.60
    imony
    -0.60
     Kavanaugh
    -0.60
    POSITIVE LOGITS
     fascination
    0.86
     fascinated
    0.81
    ousel
    0.76
     Ples
    0.72
    iously
    0.72
    enment
    0.72
    atically
    0.71
    uously
    0.70
    ioned
    0.68
    pots
    0.68
    Activations Density 0.028%

    No Known Activations