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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. 7-RES-JB
    11. 13800
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    Explanations

    metals and commodities

    oai_token-act-pair · gpt-3.5-turbo

    references to commodities and natural resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.67
     TEST
    -0.66
     Pengu
    -0.64
    ãĥĩãĤ£
    -0.64
    iov
    -0.62
     Jury
    -0.62
    lopp
    -0.62
     Emblem
    -0.61
    Agent
    -0.61
     nomine
    -0.60
    POSITIVE LOGITS
     alike
    1.30
     respectively
    1.17
     sectors
    0.83
     striped
    0.79
     industries
    0.78
     equivalents
    0.72
     pedals
    0.72
     combo
    0.69
     hybrid
    0.67
     cues
    0.66
    Activations Density 0.275%

    No Known Activations