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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. 20259
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    Explanations

    text related to records or documentation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "show" and its variations indicating the presentation of information or evidence

    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
    theless
    -0.93
    ascus
    -0.79
     batted
    -0.75
    EEE
    -0.74
     exting
    -0.70
    rete
    -0.69
    iche
    -0.67
     Seym
    -0.67
     streng
    -0.67
    ufact
    -0.66
    POSITIVE LOGITS
    runners
    0.91
    ered
    0.85
    shows
    0.85
    biz
    0.82
     Thumbnails
    0.77
    rooms
    0.77
    points
    0.74
    cases
    0.72
     Shows
    0.72
     signs
    0.72
    Activations Density 0.056%

    No Known Activations