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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. 3-RES-JB
    11. 21140
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    INDEX
    Explanations

    numerical percentages related to performance in sports

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to shooting percentages in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    part
    -0.79
    tones
    -0.72
     flavours
    -0.71
     resort
    -0.71
    apo
    -0.68
    YL
    -0.65
    ergy
    -0.65
    sg
    -0.64
    bott
    -0.64
    rir
    -0.64
    POSITIVE LOGITS
     offensively
    0.86
    requ
    0.86
    orsi
    0.83
     Cors
    0.82
     Scouting
    0.81
     ERA
    0.80
    ESPN
    0.79
    Avg
    0.78
    BIP
    0.78
     inacc
    0.78
    Activations Density 0.163%

    No Known Activations