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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. 20951
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    INDEX
    Explanations

    the name "Ashi" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities

    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
    rified
    -0.87
    sworth
    -0.73
    ials
    -0.67
    eering
    -0.67
    papers
    -0.64
    ilater
    -0.64
    course
    -0.64
    taining
    -0.63
    sheet
    -0.63
    paper
    -0.62
    POSITIVE LOGITS
    ashi
    1.05
    ya
    1.01
    ota
    0.90
    qi
    0.90
    izu
    0.90
    uchi
    0.89
    pora
    0.82
    ushi
    0.82
    Corp
    0.81
    Å¡
    0.80
    Activations Density 0.007%

    No Known Activations