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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. 7-RES-JB
    11. 8789
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    Explanations

    phrases starting with "âĢ" that seem to represent speech or thoughts in a dialogue

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or disbelief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reprodu
    -0.75
    20439
    -0.73
    swick
    -0.71
    enthal
    -0.69
     Panc
    -0.67
    creen
    -0.66
     mosqu
    -0.66
    adelphia
    -0.66
     Roc
    -0.65
     guiActiveUnfocused
    -0.65
    POSITIVE LOGITS
    ª
    1.21
    ł
    1.17
    ij
    1.02
    ¡
    0.99
    IJ
    0.99
    ¹
    0.97
    ¤
    0.97
    «
    0.92
    bring
    0.91
    Ĵ
    0.90
    Activations Density 0.133%

    No Known Activations