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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. 2-RES-JB
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    Explanations

    mentions of the specific word "Reading."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Reading."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.80
    ¯¯¯¯
    -0.79
    gger
    -0.78
    etime
    -0.75
    xon
    -0.72
    emaker
    -0.70
     WWF
    -0.69
    rg
    -0.67
    ofi
    -0.67
    VC
    -0.66
    POSITIVE LOGITS
     Reading
    1.10
     comprehension
    1.03
     aloud
    1.03
    Reading
    0.90
    ford
    0.76
     Digest
    0.74
     Through
    0.74
     Read
    0.73
     Journals
    0.71
     Concepts
    0.71
    Activations Density 0.008%

    No Known Activations