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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. 13268
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    Explanations

    locations or points of interest where people stop or gather

    oai_token-act-pair · gpt-3.5-turbo

    references to transit stops

    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
    yss
    -0.88
    ighth
    -0.82
    IGHTS
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    xual
    -0.73
    Sov
    -0.71
    umbered
    -0.71
    ipedia
    -0.70
    uth
    -0.70
    tymology
    -0.68
    ospace
    -0.68
    POSITIVE LOGITS
    watch
    0.99
    gap
    0.96
    reon
    0.78
    oppers
    0.72
    watching
    0.72
    opping
    0.71
     Gil
    0.70
     shop
    0.68
     Til
    0.66
    overs
    0.66
    Activations Density 0.021%

    No Known Activations