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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. 6-RES-JB
    11. 12268
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    INDEX
    Explanations

    sports teams, competitions, and related terms

    oai_token-act-pair · gpt-3.5-turbo

    names and references related to sports teams and competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opal
    -0.81
     Nero
    -0.76
    acters
    -0.71
    eatures
    -0.68
    terness
    -0.67
    otomy
    -0.67
    jriwal
    -0.66
     Canaver
    -0.65
    odied
    -0.65
    ä¸ī
    -0.65
    POSITIVE LOGITS
    sburg
    0.73
    MC
    0.68
     faithful
    0.65
     fans
    0.65
    nexus
    0.64
    AU
    0.62
     Fans
    0.62
     supporters
    0.62
     Supporters
    0.61
     Plus
    0.60
    Activations Density 0.205%

    No Known Activations