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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. 2462
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    Explanations

    phrases related to actions taken or events happening

    oai_token-act-pair · gpt-3.5-turbo

    pronouns used in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    hap
    -0.66
     Hok
    -0.60
     Seah
    -0.58
    ophon
    -0.57
    Tam
    -0.54
    advertisement
    -0.54
     Buddhism
    -0.53
    ivably
    -0.53
    ___
    -0.51
     endif
    -0.51
    POSITIVE LOGITS
     Seym
    0.65
    psc
    0.64
    \",
    0.64
    enum
    0.62
    tro
    0.62
     streng
    0.61
    saf
    0.60
    eded
    0.59
    merce
    0.57
     guiActiveUn
    0.56
    Activations Density 0.374%

    No Known Activations