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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. 7430
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    Explanations

    numerical values in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations or occurrences of the number 1

    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
     histories
    -0.76
     mascul
    -0.66
     devils
    -0.65
    izations
    -0.64
    birds
    -0.64
     passers
    -0.63
    olds
    -0.63
    gotten
    -0.63
     ages
    -0.62
     fences
    -0.62
    POSITIVE LOGITS
    st
    1.37
    125
    1.28
    Password
    1.21
    120
    1.20
    ½
    1.03
    128
    1.01
    123
    0.95
    000000
    0.92
    âģ
    0.92
    hr
    0.84
    Activations Density 0.068%

    No Known Activations