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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. 24389
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    Explanations

    adjectives indicating weakness or faintness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weakness or vulnerability

    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
    gemony
    -0.77
    Reviewed
    -0.74
    ?????-
    -0.68
    DJ
    -0.66
    PUT
    -0.66
    udeau
    -0.66
    oldown
    -0.64
    enture
    -0.64
    RFC
    -0.63
    CB
    -0.63
    POSITIVE LOGITS
     faint
    1.03
    lings
    0.88
    est
    0.86
    ener
    0.80
     remnant
    0.79
     glow
    0.77
    hearted
    0.75
    ening
    0.74
    mouth
    0.74
    ances
    0.73
    Activations Density 0.010%

    No Known Activations