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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. 6-RES-JB
    11. 15328
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    Explanations

    phrases related to making statements or comments

    oai_token-act-pair · gpt-3.5-turbo

    statements related to public comments and responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tests
    -0.72
     Franch
    -0.68
    FTWARE
    -0.66
     Jiu
    -0.66
     resil
    -0.66
     decom
    -0.65
    iage
    -0.64
     Venus
    -0.64
    ahime
    -0.63
    Temperature
    -0.63
    POSITIVE LOGITS
     retweet
    0.94
     ital
    0.90
     louder
    0.86
     sarcastic
    0.80
     uttered
    0.79
     paraph
    0.78
     phrases
    0.75
     unanswered
    0.74
     aloud
    0.74
     replies
    0.74
    Activations Density 0.666%

    No Known Activations