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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. 3-RES-JB
    11. 9523
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    Explanations

    links or instructions prompting the reader to engage with further content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "read."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ño
    -0.71
    pload
    -0.71
    xon
    -0.71
    ascal
    -0.66
    qqa
    -0.64
    Credit
    -0.63
    ortality
    -0.61
     circumstance
    -0.61
    اÙĦ
    -0.60
    ugal
    -0.59
    POSITIVE LOGITS
     aloud
    1.12
    just
    1.11
     comprehension
    0.96
    dress
    0.94
    ied
    0.93
    ying
    0.91
    Write
    0.87
    write
    0.85
    mitt
    0.83
    reading
    0.82
    Activations Density 0.035%

    No Known Activations