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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. 8-RES-JB
    11. 4199
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    Explanations

    words related to the context in which something occurs

    oai_token-act-pair · gpt-3.5-turbo

    references to context in discussions or explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    STON
    -0.83
    vals
    -0.73
    owship
    -0.70
    deen
    -0.69
    ãĥīãĥ©
    -0.66
    doms
    -0.66
    riage
    -0.66
    chens
    -0.65
    aliation
    -0.65
    aah
    -0.65
    POSITIVE LOGITS
     context
    0.95
    ually
    0.93
    ual
    0.89
    uality
    0.84
     contexts
    0.80
     Context
    0.76
     menus
    0.73
     contextual
    0.72
     menu
    0.72
    forward
    0.70
    Activations Density 0.025%

    No Known Activations