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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. 8-RES-JB
    11. 7849
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    INDEX
    Explanations

    specific positions or roles in American football, such as "wide receiver"

    oai_token-act-pair · gpt-3.5-turbo

    references to wide receivers in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ename
    -0.78
    iewicz
    -0.75
    xit
    -0.75
    Beat
    -0.70
    uca
    -0.70
     Airways
    -0.64
    emonic
    -0.64
    emia
    -0.63
     plur
    -0.63
    ku
    -0.63
    POSITIVE LOGITS
     Receiver
    0.89
     receiver
    0.85
    ceiver
    0.82
     receivers
    0.80
     Rece
    0.78
    forward
    0.75
     Sammy
    0.74
    ivity
    0.72
     touchdowns
    0.72
     antennas
    0.71
    Activations Density 0.033%

    No Known Activations