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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. 1493
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    Explanations

    names of people or specific entities within a text

    oai_token-act-pair · gpt-3.5-turbo

    repeated alphanumeric or character patterns in the text

    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
     Sass
    -0.88
     Slayer
    -0.77
     Saras
    -0.74
     Lump
    -0.73
     271
    -0.73
     POW
    -0.71
     McCorm
    -0.71
     Pom
    -0.71
     Bash
    -0.69
     Sweeney
    -0.69
    POSITIVE LOGITS
    e
    1.74
    ez
    1.54
    eb
    1.49
    eh
    1.41
    ec
    1.40
    eg
    1.40
    ean
    1.38
    ey
    1.38
    ee
    1.37
    ef
    1.36
    Activations Density 0.145%

    No Known Activations