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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 17997
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    medical terminology related to health risks and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Advent
    -0.70
     Equity
    -0.68
     Memor
    -0.67
     Kahn
    -0.67
     Collabor
    -0.67
     categ
    -0.66
     understatement
    -0.66
     Lithuan
    -0.65
     fairness
    -0.64
     Revision
    -0.63
    POSITIVE LOGITS
     vapor
    1.23
     liqu
    1.20
     oxid
    1.10
     disinteg
    1.07
     contamin
    1.06
     explodes
    1.02
     molten
    1.02
     evapor
    1.01
     ejected
    1.01
     dissip
    1.01
    Activations Density 0.334%

    No Known Activations