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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. 11-RES-JB
    11. 6732
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    Explanations

    mentions of Twitter usernames

    oai_token-act-pair · gpt-3.5-turbo

    references to social media interactions or mentions of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fol
    -0.86
     pilgrims
    -0.86
     brewer
    -0.82
     clay
    -0.79
     Farrell
    -0.78
     rover
    -0.76
     brewers
    -0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.73
    ewater
    -0.72
     Brewers
    -0.71
    POSITIVE LOGITS
     Nick
    1.86
    Nick
    1.74
     Nicholas
    1.42
     Tony
    1.40
    Nich
    1.34
    Nic
    1.29
    Tony
    1.29
     Anthony
    1.29
     Nicolas
    1.28
    Anthony
    1.21
    Activations Density 0.338%

    No Known Activations