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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. 1-RES-JB
    11. 20850
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to distribution and dissemination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tes
    -0.83
    chest
    -0.79
    Jer
    -0.74
    tha
    -0.74
    obs
    -0.74
    Ben
    -0.71
    te
    -0.69
    bec
    -0.67
    occup
    -0.66
    ears
    -0.65
    POSITIVE LOGITS
     distribute
    1.38
     distributing
    1.29
     distribut
    1.17
     redist
    1.07
     redistributed
    1.06
     distribution
    1.03
     distributions
    0.97
     redistribution
    0.97
     distributed
    0.95
     Distribution
    0.93
    Activations Density 0.007%

    No Known Activations