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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. 4-RES-JB
    11. 11354
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    Explanations

    references to football plays involving attempts to gain a first down

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "down" in various contexts, indicating a focus on sports, particularly football

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

    No Comments

    Negative Logits
    9999
    -0.75
    000000
    -0.73
    ön
    -0.72
    ature
    -0.69
    ç
    -0.69
    ĸļ
    -0.65
    `
    -0.63
     inaug
    -0.63
    çĶ°
    -0.63
    aceous
    -0.63
    POSITIVE LOGITS
    graded
    0.87
    swing
    0.85
    grading
    0.82
    stairs
    0.81
     alley
    0.77
    grades
    0.74
     stairs
    0.73
    plays
    0.73
     guiActiveUnfocused
    0.71
    played
    0.71
    Activations Density 0.025%

    No Known Activations