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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. 8236
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    Explanations

    phrases related to consequences or implications

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitions that indicate causality or sequence in statements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Really
    -0.70
    ULAR
    -0.68
    selves
    -0.67
    Pont
    -0.67
    SourceFile
    -0.67
    Cause
    -0.63
    Hmm
    -0.61
    MpServer
    -0.61
    ãĤ¦ãĤ¹
    -0.61
    ById
    -0.60
    POSITIVE LOGITS
     according
    0.94
     although
    0.92
     there
    0.82
     unlike
    0.81
     whenever
    0.81
     unless
    0.77
     we
    0.76
     despite
    0.75
     however
    0.73
     barring
    0.72
    Activations Density 0.155%

    No Known Activations