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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. 19491
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    Explanations

    words related to basing reasoning or decisions on specific facts or criteria

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to establishing or supporting arguments and claims

    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
     MISS
    -0.67
     Caller
    -0.66
    !:
    -0.63
    âĹ¼
    -0.61
    rawdownloadcloneembedreportprint
    -0.60
     clicked
    -0.59
     awaited
    -0.57
    !",
    -0.57
     cleared
    -0.56
    sf
    -0.56
    POSITIVE LOGITS
    iture
    0.79
     fortunes
    0.74
    itures
    0.72
    amera
    0.69
    PsyNetMessage
    0.69
     success
    0.69
    iannopoulos
    0.68
     winters
    0.67
     livelihood
    0.66
     decisions
    0.66
    Activations Density 0.370%

    No Known Activations