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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. 6718
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    Explanations

    arguments or statements being made

    oai_token-act-pair · gpt-3.5-turbo

    references to arguments and discussions

    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
     stocking
    -0.75
     Seym
    -0.72
     livest
    -0.70
    pleting
    -0.69
    cy
    -0.66
    orks
    -0.66
    eco
    -0.65
    cler
    -0.64
    annis
    -0.64
    ummer
    -0.64
    POSITIVE LOGITS
     argument
    1.22
     arguments
    1.20
    argument
    1.08
     Argument
    0.94
    uments
    0.91
     arguing
    0.86
    -+-+
    0.86
    edIn
    0.85
    Arg
    0.81
    Cooldown
    0.81
    Activations Density 0.013%

    No Known Activations