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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. 7-RES-JB
    11. 11087
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    terms related to beverages

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to various consumer products and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     GOODMAN
    -0.73
     downstream
    -0.67
    imately
    -0.66
    yss
    -0.65
    udden
    -0.63
    ebus
    -0.62
    DERR
    -0.61
    relevant
    -0.61
    uate
    -0.61
    inarily
    -0.60
    POSITIVE LOGITS
     comedy
    0.75
     mascot
    0.74
     puzz
    0.69
    ãĤ´ãĥ³
    0.68
     sculptures
    0.66
     sculpture
    0.65
     superhero
    0.65
    ãĤ¼
    0.64
    punk
    0.64
     thriller
    0.63
    Activations Density 0.673%

    No Known Activations