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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. 13430
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    Explanations

    words related to seriousness or danger

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "grave" or serious situations

    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
    ivity
    -0.86
    ILA
    -0.80
    urations
    -0.71
    ĩ
    -0.69
    iances
    -0.66
     Mandatory
    -0.66
    é¾įå
    -0.64
    AMES
    -0.64
    anwhile
    -0.63
     skim
    -0.63
    POSITIVE LOGITS
     grave
    1.35
    grave
    1.16
    lly
    1.04
     graves
    0.92
     robbing
    0.75
    fur
    0.73
    cedes
    0.72
     burial
    0.72
    stone
    0.70
    serious
    0.69
    Activations Density 0.010%

    No Known Activations