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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. 3-RES-JB
    11. 12730
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    INDEX
    Explanations

    descriptions of groups of people or categories

    oai_token-act-pair · gpt-3.5-turbo

    references to multiple entities or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Celt
    -0.76
     Berger
    -0.69
     Beir
    -0.68
     Photographer
    -0.67
     Reporting
    -0.66
     Levant
    -0.66
     Reporter
    -0.66
     Religious
    -0.65
     Harvest
    -0.64
     Spiel
    -0.64
    POSITIVE LOGITS
     apiece
    1.14
    undred
    0.98
     totaling
    0.84
    ĪĴ
    0.83
    irez
    0.83
    poons
    0.82
    milo
    0.80
    agos
    0.75
     handguns
    0.73
     consecut
    0.71
    Activations Density 0.838%

    No Known Activations