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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. 1701
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    Explanations

    mentions of a specific location or entity named "Burn" with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Burnham."

    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
    DonaldTrump
    -0.80
    ittance
    -0.70
    ploma
    -0.70
    ilial
    -0.70
     oblig
    -0.69
    OHN
    -0.66
    aternity
    -0.66
    ~~~~~~~~~~~~~~~~
    -0.64
    olerance
    -0.64
    omsky
    -0.64
    POSITIVE LOGITS
    ished
    1.13
    burn
    1.09
     Burn
    1.00
    er
    0.97
    Burn
    0.96
    burning
    0.94
    ishing
    0.92
    aby
    0.92
    ards
    0.90
     burn
    0.88
    Activations Density 0.012%

    No Known Activations