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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. 5463
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    Explanations

    words related to a specific location: the Bronx

    oai_token-act-pair · gpt-3.5-turbo

    references to the Bronx and its related locales

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inen
    -0.77
    ANC
    -0.71
    OTT
    -0.71
     metic
    -0.68
    éĸ
    -0.68
    vor
    -0.66
    ment
    -0.65
    ANCE
    -0.62
    IELD
    -0.61
     Nem
    -0.61
    POSITIVE LOGITS
    xual
    0.96
     Bronx
    0.88
    geoning
    0.86
    ĸļ
    0.84
    ozo
    0.83
    reply
    0.80
    layer
    0.78
    es
    0.78
    uary
    0.76
     Parenthood
    0.76
    Activations Density 0.028%

    No Known Activations