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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. 18552
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    Explanations

    phrases related to political debates

    oai_token-act-pair · gpt-3.5-turbo

    references to presidential debates

    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
    etheless
    -0.75
    TAG
    -0.73
    REE
    -0.70
    icidal
    -0.67
    DEP
    -0.65
    Balt
    -0.65
    lass
    -0.65
    existent
    -0.63
    ATA
    -0.62
    cedented
    -0.62
    POSITIVE LOGITS
    halla
    0.79
     speeches
    0.76
     season
    0.73
     kickoff
    0.73
     airing
    0.73
     announ
    0.70
    oons
    0.70
     attendants
    0.69
     hall
    0.69
     aired
    0.69
    Activations Density 0.028%

    No Known Activations