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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. 3-RES-JB
    11. 16630
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    Explanations

    phrases enclosed in special characters or symbols used for emphasis

    oai_token-act-pair · gpt-3.5-turbo

    representations of cultural or artistic concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marble
    -0.69
     detached
    -0.69
    creen
    -0.66
     typew
    -0.66
     Mirage
    -0.66
    wagen
    -0.64
     Truman
    -0.63
     comprom
    -0.62
     Bengal
    -0.61
     fragmentation
    -0.60
    POSITIVE LOGITS
    ł
    1.13
    ¹
    0.99
    ij
    0.96
    IJ
    0.90
    ı
    0.88
    Ĵ
    0.87
    ª
    0.86
    ķ
    0.82
    against
    0.81
    once
    0.81
    Activations Density 0.252%

    No Known Activations