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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. 7509
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    Explanations

    locations or entities related to Tempe

    oai_token-act-pair · gpt-3.5-turbo

    references to temperature-related terms and conditions

    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
    atform
    -0.72
    lihood
    -0.72
     Scotia
    -0.70
    ãģį
    -0.66
     Newfoundland
    -0.62
     ASC
    -0.62
     Explorer
    -0.62
     otherwise
    -0.61
     rooting
    -0.61
     Barkley
    -0.60
    POSITIVE LOGITS
    porary
    1.59
    poral
    1.40
    pered
    1.29
    perate
    1.28
    plates
    1.25
    ples
    1.24
    perature
    1.24
    pering
    1.23
    ple
    1.20
    ension
    1.14
    Activations Density 0.030%

    No Known Activations