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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. 1-RES-JB
    11. 7366
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    Explanations

    patterns or recurring themes

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes or models of behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grim
    -0.73
    LV
    -0.72
    minent
    -0.71
    GS
    -0.70
     Angels
    -0.69
    avez
    -0.68
     la
    -0.66
    lev
    -0.65
    ayson
    -0.64
    ascular
    -0.64
    POSITIVE LOGITS
     pattern
    1.32
     patterns
    1.20
    pattern
    1.19
    Pattern
    1.17
     Pattern
    1.16
    ĸļ
    1.14
     Patterns
    1.09
     unfocusedRange
    0.90
    eering
    0.88
    ãĤ¼ãĤ¦ãĤ¹
    0.81
    Activations Density 0.008%

    No Known Activations