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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. 13316
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    Explanations

    mentions of various types of shotguns

    oai_token-act-pair · gpt-3.5-turbo

    references to shotguns and related weapons

    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
    uana
    -0.72
    AFTA
    -0.71
    ocrin
    -0.70
    odes
    -0.69
    reon
    -0.69
    Reviewer
    -0.69
    reads
    -0.68
    oria
    -0.68
    gorithm
    -0.68
    hani
    -0.67
    POSITIVE LOGITS
    ned
    0.94
     pellets
    0.88
     shotgun
    0.87
     shells
    0.87
    nikov
    0.86
     shotguns
    0.83
     barrel
    0.78
    nery
    0.74
    powder
    0.72
     microphones
    0.71
    Activations Density 0.014%

    No Known Activations