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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. 2424
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    INDEX
    Explanations

    phrases indicating a high intensity or extremity of the described situation

    oai_token-act-pair · gpt-3.5-turbo

    extreme phrases expressing strong opinions or evaluations

    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
    works
    -0.68
     Flavoring
    -0.67
     Altern
    -0.67
    ership
    -0.65
    Newsletter
    -0.61
     CPC
    -0.60
    rights
    -0.58
     excerpts
    -0.58
    "},{"
    -0.57
     Citizens
    -0.56
    POSITIVE LOGITS
    oooo
    1.34
    bered
    1.31
    ooo
    1.30
    oooooooo
    1.17
    oths
    1.16
     darn
    1.12
    apy
    1.09
    iled
    1.03
     damn
    1.02
     ingrained
    1.01
    Activations Density 0.078%

    No Known Activations