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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. 11225
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    Explanations

    references or citations in a scholarly text

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    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
     advis
    -0.72
     applicable
    -0.66
     dictatorship
    -0.64
     chopping
    -0.62
    glers
    -0.61
     stewards
    -0.61
     budgets
    -0.61
     leap
    -0.61
     rule
    -0.60
     roundup
    -0.60
    POSITIVE LOGITS
    J
    1.31
    E
    1.18
    A
    1.17
    Va
    1.16
    C
    1.14
    S
    1.13
    L
    1.12
    R
    1.11
    P
    1.11
    O
    1.10
    Activations Density 0.049%

    No Known Activations