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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. 6-RES-JB
    11. 11696
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    Explanations

    keywords related to observing or interacting with others in a specific physical space

    oai_token-act-pair · gpt-3.5-turbo

    mentions of passersby and their interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cay
    -0.65
     marrow
    -0.65
    undo
    -0.63
    ested
    -0.61
    eat
    -0.61
    arus
    -0.61
    ripp
    -0.61
     Milk
    -0.60
     Lod
    -0.60
     Netherlands
    -0.60
    POSITIVE LOGITS
    by
    0.92
    ages
    0.86
    iper
    0.81
    lihood
    0.81
     passer
    0.81
    ky
    0.75
    age
    0.73
     wip
    0.73
    iqueness
    0.70
    atures
    0.70
    Activations Density 0.046%

    No Known Activations