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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. 10-RES-JB
    11. 1128
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    INDEX
    Explanations

    times and quantities

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and numerical data in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Otherwise
    -0.80
    eker
    -0.74
    angel
    -0.72
    Laughs
    -0.71
    ļéĨĴ
    -0.71
    efe
    -0.69
     dstg
    -0.68
    cko
    -0.68
    enta
    -0.67
    Amount
    -0.66
    POSITIVE LOGITS
     these
    0.96
     it
    0.96
     this
    0.94
     respectively
    0.80
    these
    0.76
     they
    0.75
    this
    0.73
     however
    0.70
     there
    0.68
     the
    0.67
    Activations Density 0.203%

    No Known Activations