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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. 6-RES-JB
    11. 12765
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    INDEX
    Explanations

    numbers related to scores or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring or points in competitive scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eatures
    -0.77
    uthor
    -0.77
    anical
    -0.72
    LECT
    -0.72
    ourt
    -0.72
    yss
    -0.72
    annis
    -0.71
     Romeo
    -0.71
     externalToEVAOnly
    -0.69
    ctors
    -0.67
    POSITIVE LOGITS
    manship
    0.93
    ifications
    0.83
    blank
    0.75
     points
    0.75
    uing
    0.73
    points
    0.72
     blank
    0.72
     Reyes
    0.71
    point
    0.71
    ense
    0.70
    Activations Density 0.027%

    No Known Activations