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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. 8484
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    odcast
    -0.64
     Agg
    -0.63
     Barg
    -0.62
    gas
    -0.62
     halves
    -0.62
     Stab
    -0.61
    plet
    -0.60
    agree
    -0.60
    cise
    -0.60
    imentary
    -0.59
    POSITIVE LOGITS
    æ©
    0.96
     fame
    0.92
    rities
    0.85
     tremend
    0.83
    ":""},{"
    0.78
    frey
    0.77
    ously
    0.77
     notoriety
    0.74
    ilial
    0.73
     certs
    0.72
    Activations Density 0.015%

    No Known Activations