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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. 11-RES-JB
    11. 2402
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    Explanations

    estimations or estimates

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding estimates and predictions about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.76
    pai
    -0.75
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.74
    Synopsis
    -0.73
    matter
    -0.70
    xa
    -0.68
    é¾įå¥ij士
    -0.67
    meta
    -0.66
    nant
    -0.65
     Pastebin
    -0.64
    POSITIVE LOGITS
     that
    1.09
     revenues
    0.79
     upwards
    0.78
     costs
    0.78
     there
    0.78
     estimating
    0.77
     attendance
    0.74
    that
    0.73
     estimated
    0.73
     probabilities
    0.73
    Activations Density 0.116%

    No Known Activations