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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. 14820
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    Explanations

    phrases indicating reported speech or statements, particularly featuring the word "said."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "said" in various contexts

    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
    à¦
    -0.70
    achine
    -0.68
     ILCS
    -0.67
    alogue
    -0.65
    Charge
    -0.64
    FL
    -0.63
    Pont
    -0.61
    pee
    -0.60
    umbered
    -0.60
    abwe
    -0.59
    POSITIVE LOGITS
    :"
    1.06
     goodbye
    0.99
     bluntly
    0.95
     "[
    0.82
     sarcast
    0.81
     aloud
    0.81
     unequivocally
    0.80
    :]
    0.78
     "âĢ¦
    0.78
     farewell
    0.77
    Activations Density 0.190%

    No Known Activations