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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. 10-RES-JB
    11. 6057
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    Explanations

    programming code snippets related to error handling

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and error-related language in technical contexts

    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
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    Negative Logits
    icing
    -0.87
    emouth
    -0.82
    iced
    -0.69
    ricanes
    -0.69
    paralle
    -0.68
    htaking
    -0.68
    iques
    -0.66
    PsyNetMessage
    -0.64
    acca
    -0.63
    Meet
    -0.63
    POSITIVE LOGITS
     forfeit
    1.14
     goto
    1.11
     abort
    1.04
     revert
    1.03
     Cancel
    0.96
     forfe
    0.96
    continue
    0.94
    throw
    0.94
     proceed
    0.93
     quit
    0.92
    Activations Density 0.276%

    No Known Activations