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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. 7-RES-JB
    11. 22954
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    Explanations

    technical processes or procedures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of biological or chemical processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    azo
    -0.67
    gdala
    -0.67
    hiro
    -0.65
    bors
    -0.64
     Fighters
    -0.63
     dearly
    -0.63
    azines
    -0.62
    aez
    -0.60
    isd
    -0.60
    igh
    -0.60
    POSITIVE LOGITS
    ional
    1.15
    ions
    1.00
    ivity
    0.90
    ivism
    0.77
    ioned
    0.77
     process
    0.77
    icity
    0.76
    advertisement
    0.75
    Shape
    0.75
    ion
    0.75
    Activations Density 0.037%

    No Known Activations