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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. 357
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    INDEX
    Explanations

    percentage changes in numerical data over time

    oai_token-act-pair · gpt-3.5-turbo

    statistical percentages related to changes or trends

    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
    RAW
    -0.75
    bent
    -0.60
    vice
    -0.59
    umbn
    -0.58
     vend
    -0.54
    llah
    -0.54
    Ĥ¬
    -0.54
    ADRA
    -0.53
    assion
    -0.53
    argon
    -0.52
    POSITIVE LOGITS
     compared
    1.09
     between
    0.92
     annually
    0.92
     since
    0.89
    Footnote
    0.89
     Yo
    0.85
     relative
    0.83
     apiece
    0.82
    between
    0.81
     year
    0.80
    Activations Density 0.119%

    No Known Activations