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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. 9-RES-JB
    11. 7255
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    INDEX
    Explanations

    business or competitive relationships between entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rivalry and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ummer
    -0.66
    mans
    -0.65
    haar
    -0.65
    mberg
    -0.63
     Advis
    -0.62
    ctor
    -0.62
    atever
    -0.60
     credits
    -0.60
    overe
    -0.60
    OST
    -0.60
    POSITIVE LOGITS
    ries
    1.44
     challengers
    0.78
     rival
    0.78
     competitor
    0.77
     challenger
    0.74
     vying
    0.74
    rous
    0.73
     contender
    0.71
     rivals
    0.71
     bidder
    0.71
    Activations Density 0.062%

    No Known Activations