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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. 12868
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    INDEX
    Explanations

    words related to speed and movement

    oai_token-act-pair · gpt-3.5-turbo

    experiences of disappointment or frustration

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    erenn
    -0.71
    Ô
    -0.69
    \":
    -0.68
    ãĥĹ
    -0.67
     Join
    -0.64
    Join
    -0.64
    scribe
    -0.62
    åŃIJ
    -0.61
    cott
    -0.61
    SourceFile
    -0.60
    POSITIVE LOGITS
     hindsight
    1.33
     lacked
    1.11
     retrospect
    1.05
     wasn
    1.02
     felt
    0.96
    didn
    0.95
    Overall
    0.95
     afterwards
    0.95
     didn
    0.93
    Was
    0.92
    Activations Density 0.503%

    No Known Activations