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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. 24367
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    Explanations

    references to people's names

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "cha."

    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
    lessly
    -0.94
    say
    -0.71
    Reviewer
    -0.68
    lining
    -0.68
    advertisement
    -0.66
    lighting
    -0.65
    rored
    -0.64
    IED
    -0.64
    syn
    -0.64
    batch
    -0.63
    POSITIVE LOGITS
    ption
    0.90
    usha
    0.83
    illes
    0.83
    plain
    0.83
    izo
    0.82
    plin
    0.82
    pton
    0.82
    ige
    0.81
    cha
    0.78
    pload
    0.78
    Activations Density 0.007%

    No Known Activations