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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. 12591
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    Explanations

    names related to locations and individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations related to specific individuals and groups

    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
    ãĥł
    -0.72
    20439
    -0.67
    angelo
    -0.67
     Cav
    -0.64
     Reincarn
    -0.63
     craw
    -0.62
    chio
    -0.62
    sylv
    -0.62
     ORDER
    -0.61
    Cola
    -0.60
    POSITIVE LOGITS
    hid
    0.93
    urat
    0.90
    nir
    0.87
    obin
    0.86
    enei
    0.84
    abi
    0.83
     Rouge
    0.83
    afi
    0.82
    stan
    0.81
    arat
    0.80
    Activations Density 0.084%

    No Known Activations