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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. 14261
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    Explanations

    keywords related to data formats, specifically JSON

    oai_token-act-pair · gpt-3.5-turbo

    references to data formats, specifically JSON and CSV

    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
     Dull
    -0.72
    itism
    -0.69
    ________________
    -0.68
    atism
    -0.68
    ichita
    -0.67
    aments
    -0.66
    higher
    -0.66
    Reviewer
    -0.66
    Downloadha
    -0.65
    avement
    -0.64
    POSITIVE LOGITS
     RPC
    0.94
     JSON
    0.78
     encoded
    0.73
    JSON
    0.73
     schema
    0.73
    icter
    0.72
     extracted
    0.70
     formatted
    0.69
     structured
    0.67
     container
    0.67
    Activations Density 0.015%

    No Known Activations