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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. 4-RES-JB
    11. 841
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    Explanations

    phrases related to high-velocity impacts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ricocheting and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    natureconservancy
    -0.91
    igans
    -0.77
    isher
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    isting
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    parent
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    Materials
    -0.73
    dfx
    -0.72
    iture
    -0.72
    abilia
    -0.72
    ishers
    -0.71
    POSITIVE LOGITS
    tan
    0.78
     Bulg
    0.77
    tics
    0.76
    okia
    0.66
    tical
    0.65
    oda
    0.65
     Sek
    0.64
    hovah
    0.64
    ogene
    0.64
     Lum
    0.64
    Activations Density 0.029%

    No Known Activations