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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. 6550
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    INDEX
    Explanations

    phrases mentioning expectations or societal norms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of expectations or obligations

    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
    ccording
    -0.65
     stru
    -0.61
    uesday
    -0.60
     Heck
    -0.60
    Ey
    -0.55
     occas
    -0.53
     Bulgar
    -0.53
    soever
    -0.53
     Quote
    -0.53
     Hits
    -0.53
    POSITIVE LOGITS
     to
    0.96
    toc
    0.79
    to
    0.78
     "$:/
    0.77
    Disclaimer
    0.73
    ALLY
    0.69
     TO
    0.67
    ivalent
    0.66
     ta
    0.65
    aceae
    0.64
    Activations Density 0.024%

    No Known Activations