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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. 4-RES-JB
    11. 10323
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    Explanations

    words related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams

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

    No Comments

    Negative Logits
    onymous
    -0.73
     fue
    -0.68
    autical
    -0.68
    ctors
    -0.65
    stage
    -0.65
    ement
    -0.63
    uding
    -0.62
    itia
    -0.62
     particle
    -0.62
    igm
    -0.61
    POSITIVE LOGITS
     Offense
    0.87
     Fans
    0.85
     fans
    0.84
     rookie
    0.84
    士
    0.82
     Falcons
    0.80
     Bulls
    0.79
     Playoff
    0.79
    ;;;;;;;;
    0.79
     Stadium
    0.78
    Activations Density 0.077%

    No Known Activations