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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. 2-RES-JB
    11. 1480
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    Explanations

    keywords related to sports trades and transactions

    oai_token-act-pair · gpt-3.5-turbo

    references to player trades in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arine
    -0.82
    usha
    -0.79
     Continental
    -0.78
    enic
    -0.78
    alach
    -0.70
    anthrop
    -0.69
    eous
    -0.69
    atever
    -0.69
    issance
    -0.68
    netflix
    -0.67
    POSITIVE LOGITS
    offs
    0.81
     paperback
    0.78
    BACK
    0.76
    Trade
    0.75
     trades
    0.74
    vant
    0.72
    ulative
    0.68
     traded
    0.68
    Skill
    0.68
    places
    0.66
    Activations Density 0.023%

    No Known Activations