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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. 1-RES-JB
    11. 14493
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    Explanations

    words related to sports drafts

    oai_token-act-pair · gpt-3.5-turbo

    references to sports events or drafts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     lasting
    -0.63
     nerv
    -0.62
     alone
    -0.61
     Zimbabwe
    -0.61
     ceased
    -0.60
     dos
    -0.60
     listing
    -0.59
     DRAG
    -0.59
     traveller
    -0.58
    LOG
    -0.57
    POSITIVE LOGITS
    ologne
    0.74
    anism
    0.72
    umni
    0.70
    antage
    0.70
    eways
    0.69
    orthodox
    0.69
    estate
    0.68
     Cous
    0.66
    yss
    0.66
    cffff
    0.66
    Activations Density 0.000%

    No Known Activations