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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. 7-RES-JB
    11. 12475
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    Explanations

    keywords related to sports drafts

    oai_token-act-pair · gpt-3.5-turbo

    references to the NFL draft

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     membr
    -0.79
    oeuv
    -0.73
     encount
    -0.72
     lapt
    -0.69
    sth
    -0.69
    pour
    -0.69
    asma
    -0.67
     ful
    -0.67
    sein
    -0.67
    combe
    -0.67
    POSITIVE LOGITS
    Kings
    1.19
    smanship
    1.16
     lottery
    1.08
     picks
    0.96
     Picks
    0.94
    Express
    0.89
     combine
    0.80
     selections
    0.76
     Combine
    0.75
    raft
    0.75
    Activations Density 0.024%

    No Known Activations