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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. 13794
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    Explanations

    phrases indicating emphasis or important points.

    oai_token-act-pair · gpt-3.5-turbo

    instances of special characters or symbols

    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
     detached
    -0.76
     shroud
    -0.73
     guiActiveUnfocused
    -0.72
     dividing
    -0.70
     beaut
    -0.68
     tumble
    -0.68
     touches
    -0.68
     stairs
    -0.68
     board
    -0.67
     semblance
    -0.66
    POSITIVE LOGITS
    ª
    1.14
    ł
    1.13
    ¹
    0.96
    £
    0.95
    ij
    0.95
    ONSORED
    0.94
    Ĵ
    0.92
    IJ
    0.91
    ¤
    0.89
    ¡
    0.88
    Activations Density 0.118%

    No Known Activations