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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. 9833
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    Explanations

    mentions of various types of footwear, especially boots

    oai_token-act-pair · gpt-3.5-turbo

    references to footwear, particularly boots

    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
     pregn
    -0.76
    berman
    -0.69
    enced
    -0.68
     relativity
    -0.65
    kefeller
    -0.65
    ADRA
    -0.64
    agara
    -0.64
    encers
    -0.64
     antioxid
    -0.62
     neurot
    -0.61
    POSITIVE LOGITS
    strap
    1.95
    stra
    1.20
    legged
    1.14
    camp
    1.12
    loader
    1.10
    leg
    0.97
    ies
    0.83
    eful
    0.82
    chart
    0.81
    lake
    0.80
    Activations Density 0.022%

    No Known Activations