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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. 4-RES-JB
    11. 22116
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    Explanations

    references to sports drafts and related activities

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     interf
    -0.73
    oeuv
    -0.73
    onse
    -0.71
    combe
    -0.70
     membr
    -0.69
     lapt
    -0.69
    pour
    -0.69
     encount
    -0.68
    ofi
    -0.66
    £ı
    -0.64
    POSITIVE LOGITS
    smanship
    1.19
    Kings
    1.16
     picks
    0.95
     lottery
    0.94
     Picks
    0.86
     combine
    0.80
    lings
    0.79
     Combine
    0.77
    Draft
    0.77
     Broncos
    0.76
    Activations Density 0.016%

    No Known Activations