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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. 0-RES-JB
    11. 6151
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    Explanations

    words related to publishing or publications

    oai_token-act-pair · gpt-3.5-turbo

    words related to publishing or published content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sweeps
    -0.71
     dash
    -0.67
     sweep
    -0.66
     Line
    -0.65
     screws
    -0.64
     wish
    -0.63
     Jung
    -0.62
     Drain
    -0.61
     advanced
    -0.61
     Chase
    -0.60
    POSITIVE LOGITS
    pub
    4.57
    Pub
    2.40
     pub
    1.84
     Pub
    1.82
    published
    1.66
    Publisher
    1.43
    public
    1.34
     pubs
    1.31
     publish
    1.31
     publishing
    1.24
    Activations Density 0.016%

    No Known Activations