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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. 13197
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    INDEX
    Explanations

    mentions of weights or materials associated with lightness or heaviness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weight classes in combat sports

    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
    uation
    -0.91
    sis
    -0.90
    atche
    -0.87
    ibel
    -0.86
    ablishment
    -0.81
    ifice
    -0.81
    itia
    -0.81
    uman
    -0.81
    idan
    -0.80
    etts
    -0.78
    POSITIVE LOGITS
     heavyweight
    0.89
     boxing
    0.78
     minded
    0.74
     boxer
    0.74
    weights
    0.74
     powerhouse
    0.71
     lightweight
    0.70
     contender
    0.67
     wallets
    0.64
     bour
    0.64
    Activations Density 0.017%

    No Known Activations