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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. 9910
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to additional information or related topics

    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
    bably
    -0.71
    icum
    -0.70
    iated
    -0.65
    ium
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    versive
    -0.62
    prime
    -0.61
    lied
    -0.61
    ucl
    -0.61
    merce
    -0.58
    ios
    -0.58
    POSITIVE LOGITS
     Also
    1.22
     ALSO
    1.05
     also
    0.98
     below
    0.90
    Also
    0.85
    ership
    0.84
    also
    0.78
     above
    0.78
     ya
    0.76
    KER
    0.75
    Activations Density 0.036%

    No Known Activations