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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. 3-RES-JB
    11. 7063
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    geographical terms or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.97
    icum
    -0.83
    Interstitial
    -0.83
    acca
    -0.74
    ioned
    -0.72
    ificial
    -0.71
    ities
    -0.71
    idental
    -0.70
     sidel
    -0.67
     withd
    -0.67
    POSITIVE LOGITS
    hog
    1.08
    orge
    1.03
    ORGE
    0.97
    cko
    0.90
    orget
    0.90
    eks
    0.87
    ge
    0.87
    orgetown
    0.83
    rend
    0.79
    rer
    0.78
    Activations Density 0.015%

    No Known Activations