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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. 7-RES-JB
    11. 7813
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    Explanations

    texts related to reading or books

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "read" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ño
    -0.71
    xon
    -0.69
    pload
    -0.66
    ella
    -0.65
    qqa
    -0.64
    ction
    -0.64
    ctions
    -0.64
    amera
    -0.60
    Credit
    -0.60
    ascal
    -0.59
    POSITIVE LOGITS
     aloud
    1.44
    just
    1.16
     comprehension
    1.09
    dress
    0.97
     excerpts
    0.94
    write
    0.87
    ied
    0.86
    itatively
    0.85
     books
    0.85
    mill
    0.83
    Activations Density 0.043%

    No Known Activations