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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. 9-RES-JB
    11. 14022
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legislation and government actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scept
    -0.62
     arte
    -0.61
    oeuv
    -0.59
     manoeuv
    -0.57
     tum
    -0.57
     favourite
    -0.53
    ocative
    -0.52
     emphas
    -0.52
     campaigner
    -0.52
    ophon
    -0.51
    POSITIVE LOGITS
     NEVER
    0.70
     ONLY
    0.69
     ALWAYS
    0.66
     NOT
    0.65
     INCLUD
    0.65
     respectively
    0.63
     ALL
    0.63
     EVERY
    0.62
     LCS
    0.61
     AFTER
    0.59
    Activations Density 1.868%

    No Known Activations