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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
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    Explanations

    proper nouns and names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and organizations

    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
    olulu
    -0.64
    rawdownloadcloneembedreportprint
    -0.64
    cellaneous
    -0.63
    foundland
    -0.63
    Anonymous
    -0.62
    eatures
    -0.62
     Pwr
    -0.62
    romeda
    -0.61
    TPPStreamerBot
    -0.61
    Marginal
    -0.60
    POSITIVE LOGITS
     intends
    1.04
     might
    1.04
     ought
    1.04
     should
    1.01
     could
    0.96
     possesses
    0.95
     would
    0.94
     owes
    0.93
     deserved
    0.92
     intend
    0.90
    Activations Density 0.710%

    No Known Activations