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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. 8957
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    Explanations

    mentions of being undrafted in sports-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to players who went undrafted 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
    izoph
    -0.85
    tta
    -0.71
    rr
    -0.70
    rha
    -0.68
    HEAD
    -0.67
    agame
    -0.64
    arta
    -0.63
    stem
    -0.62
    othy
    -0.62
    ittens
    -0.60
    POSITIVE LOGITS
     rookie
    1.04
     rookies
    0.96
     undrafted
    0.90
    uary
    0.84
    ortun
    0.76
     waivers
    0.75
    digy
    0.71
    rafted
    0.69
     streak
    0.69
     talent
    0.68
    Activations Density 0.011%

    No Known Activations