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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. 9-RES-JB
    11. 9138
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    Explanations

    specific characters and symbols used in coding or technical contexts

    oai_token-act-pair · gpt-3.5-turbo

    structured formatting and specific data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uka
    -0.77
    ISA
    -0.77
     Kov
    -0.77
     Jagu
    -0.77
     ident
    -0.76
    kas
    -0.75
    efer
    -0.75
     Invaders
    -0.73
     1947
    -0.72
     SolidGoldMagikarp
    -0.72
    POSITIVE LOGITS
    10
    1.25
    110
    1.06
     10
    1.02
    410
    0.93
    210
    0.91
     Horton
    0.90
     110
    0.90
    910
    0.90
    105
    0.90
    2010
    0.90
    Activations Density 0.258%

    No Known Activations