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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. 4-RES-JB
    11. 13183
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    Explanations

    phrases related to follow-up actions or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and references to follow-up actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Fiorina
    -0.72
    dfx
    -0.67
     soluble
    -0.66
     discont
    -0.59
     Aut
    -0.58
     Madd
    -0.58
    tu
    -0.57
     theater
    -0.56
     Ended
    -0.56
     strapped
    -0.56
    POSITIVE LOGITS
    hran
    0.76
    advertisement
    0.72
    mitt
    0.68
    çĶ
    0.67
    VERTISEMENT
    0.67
    heid
    0.66
    hunt
    0.66
    Filename
    0.65
     sanction
    0.64
     steps
    0.64
    Activations Density 0.119%

    No Known Activations