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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. 20246
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    Explanations

    phrases addressing or introducing a specific topic or concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce or emphasize a point or argument

    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
     Archdemon
    -0.80
    omas
    -0.69
    oons
    -0.65
    tery
    -0.65
    ettings
    -0.64
    dan
    -0.64
    Leaks
    -0.64
    asons
    -0.64
     dime
    -0.63
     ({
    -0.63
    POSITIVE LOGITS
     caveats
    0.88
     caveat
    0.83
     disclaimer
    0.80
     backdrop
    0.74
     knowledge
    0.74
     realization
    0.72
     terminology
    0.68
     reasoning
    0.68
     consideration
    0.65
     information
    0.65
    Activations Density 0.099%

    No Known Activations