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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. 17800
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    Explanations

    calls to action prompting people to join a specific community or sign up for newsletters

    oai_token-act-pair · gpt-3.5-turbo

    calls to action related to joining or participating in activities or communities

    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
    bane
    -0.68
     deviations
    -0.63
     discretionary
    -0.62
     deviation
    -0.62
     borrowed
    -0.61
     pronoun
    -0.60
     inherited
    -0.58
     disposed
    -0.58
     forg
    -0.58
     throat
    -0.58
    POSITIVE LOGITS
    Join
    0.75
    OWN
    0.74
    eries
    0.74
     Pastebin
    0.73
     Cosponsors
    0.71
     Join
    0.70
    MSN
    0.70
    Session
    0.69
    cius
    0.68
    ivals
    0.68
    Activations Density 0.030%

    No Known Activations