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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the sports team 'Knicks'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the New York Knicks basketball team

    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
    Not in Any Lists

    No Comments

    Negative Logits
    jamin
    -0.78
    umen
    -0.78
    arding
    -0.77
    ards
    -0.72
    ibi
    -0.69
    arded
    -0.67
    vest
    -0.67
    ard
    -0.66
    abases
    -0.66
    ibilities
    -0.66
    POSITIVE LOGITS
    eer
    0.78
     Speedway
    0.73
    Row
    0.72
    Blade
    0.66
    iosyncr
    0.66
    ¥ŀ
    0.65
    arb
    0.62
     Gork
    0.61
    Label
    0.61
     acquaintance
    0.60
    Activations Density 0.031%

    No Known Activations