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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. 16158
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    INDEX
    Explanations

    proper nouns, specifically related to universities

    oai_token-act-pair · gpt-3.5-turbo

    references to college-related terms and institutions

    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
    eson
    -0.91
    apo
    -0.90
    lyn
    -0.83
    yt
    -0.81
    kins
    -0.81
    yk
    -0.80
    alia
    -0.80
    os
    -0.80
    bern
    -0.80
    az
    -0.79
    POSITIVE LOGITS
    ANCE
    1.25
    MENT
    1.19
    ENTION
    1.19
    DERR
    1.19
    NING
    1.18
    INT
    1.17
    REC
    1.16
    ABLE
    1.15
    URA
    1.13
    TERN
    1.13
    Activations Density 0.028%

    No Known Activations