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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. 12-RES-JB
    11. 3569
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    Explanations

    information related to sports and player performance

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    performance statistics related to athletes in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -0.73
    wcsstore
    -0.69
    ipedia
    -0.69
     plur
    -0.68
    soType
    -0.68
    zees
    -0.64
    20439
    -0.64
     sovere
    -0.61
    ocyte
    -0.61
    otropic
    -0.61
    POSITIVE LOGITS
     fumble
    1.18
     sacks
    1.15
     touchdowns
    1.14
     sacked
    1.14
     rushing
    1.12
     TDs
    1.11
     yards
    1.11
     rusher
    1.09
     sack
    1.09
     interceptions
    1.08
    Activations Density 0.341%

    No Known Activations