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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. 5365
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    INDEX
    Explanations

    structured text blocks such as tables or lists

    oai_token-act-pair · gpt-3.5-turbo

    patterns of underscores and other formatting placeholders in the text

    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
     divers
    -0.83
     Tome
    -0.67
    irection
    -0.66
     Coast
    -0.66
    fish
    -0.63
    odon
    -0.63
    amorph
    -0.62
     Tourism
    -0.62
     domest
    -0.62
     Vision
    -0.61
    POSITIVE LOGITS
    ______
    1.55
    _______
    1.40
    _____
    1.40
    ________________
    1.29
    ________________________________________________________________
    1.26
    ________
    1.26
    ___
    1.25
    ____
    1.25
    ________________________
    1.24
    ________________________________
    1.14
    Activations Density 0.010%

    No Known Activations