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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
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    words related to kicking in sports

    oai_token-act-pair · gpt-3.5-turbo

    words related to kicking, specifically in sports contexts

    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
     Emin
    -0.82
     Debor
    -0.76
     Newsp
    -0.73
    rians
    -0.71
    BuyableInstoreAndOnline
    -0.69
     Institution
    -0.68
     Scotia
    -0.67
     Municip
    -0.66
     abund
    -0.66
    icity
    -0.65
    POSITIVE LOGITS
    starter
    1.50
    boxing
    1.26
    starting
    1.15
    strap
    1.12
    backs
    1.04
    started
    1.02
    back
    0.99
    start
    0.96
    ball
    0.96
    outs
    0.93
    Activations Density 0.027%

    No Known Activations