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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. 6-RES-JB
    11. 13528
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    Explanations

    numerical statistics and data related to sports performances

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.95
    rison
    -0.80
    uncture
    -0.74
    rir
    -0.66
    oute
    -0.65
     locality
    -0.64
    pez
    -0.64
    adle
    -0.63
    timer
    -0.62
    ramer
    -0.62
    POSITIVE LOGITS
     spanning
    0.77
     worldwide
    0.75
     total
    0.72
     consecut
    0.71
     plus
    0.70
     mph
    0.68
    RFC
    0.66
     Including
    0.66
     including
    0.65
     consecutive
    0.65
    Activations Density 0.186%

    No Known Activations