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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. 20428
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    INDEX
    Explanations

    references to people taking actions or going to specific places

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "went."

    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
    ament
    -0.77
    ullah
    -0.76
    eers
    -0.75
    creen
    -0.72
    uctor
    -0.71
    itionally
    -0.70
    icio
    -0.70
    ipation
    -0.68
    ribution
    -0.63
    contained
    -0.63
    POSITIVE LOGITS
    vt
    0.95
    Ń·
    0.93
    ©¶æ
    0.90
     overboard
    0.89
    lems
    0.85
     viral
    0.84
    verning
    0.82
     ahead
    0.80
     unnoticed
    0.80
    ggle
    0.78
    Activations Density 0.088%

    No Known Activations