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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. 10-RES-JB
    11. 3408
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    INDEX
    Explanations

    calls to action in the context of activism or advocacy

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and encouragement to engage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tongues
    -0.60
    ãĤ´ãĥ³
    -0.60
    kered
    -0.57
    endiary
    -0.56
     vener
    -0.56
     coron
    -0.56
    etheless
    -0.55
    serv
    -0.54
    ries
    -0.54
     Hann
    -0.53
    POSITIVE LOGITS
     Now
    0.74
     NOW
    0.70
     Emails
    0.65
    é»Ĵ
    0.64
    umes
    0.63
     Politics
    0.61
     Newsletter
    0.60
     Journalism
    0.60
     Teacher
    0.59
    76561
    0.59
    Activations Density 0.026%

    No Known Activations