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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. 16302
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    Explanations

    phrases related to legal entities or organizations, specifically ones containing the word "Lo" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lo" and its variations

    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
    manship
    -0.87
    pillar
    -0.79
    sburg
    -0.66
    ments
    -0.65
    rations
    -0.64
    ITAL
    -0.64
    metic
    -0.64
    EMENT
    -0.63
    ãĥĩ
    -0.62
    itated
    -0.62
    POSITIVE LOGITS
    fty
    1.15
    veland
    1.11
    ppy
    0.97
    zzle
    0.97
    Gi
    0.96
    fts
    0.95
    ose
    0.95
    pper
    0.95
    vel
    0.95
    opy
    0.94
    Activations Density 0.016%

    No Known Activations