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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. 10-RES-JB
    11. 24386
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    INDEX
    Explanations

    occurrences of the word "reading"

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of reading

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lla
    -0.64
    Enlarge
    -0.64
    ality
    -0.64
    xon
    -0.63
     payout
    -0.61
     shielding
    -0.59
    amera
    -0.59
    ella
    -0.59
    byn
    -0.58
    avior
    -0.58
    POSITIVE LOGITS
     aloud
    1.39
    just
    1.15
     books
    1.02
     passages
    1.00
     excerpts
    0.98
     comprehension
    0.95
    ied
    0.95
     newspapers
    0.93
     articles
    0.92
    dress
    0.92
    Activations Density 0.051%

    No Known Activations