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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. 9-RES-JB
    11. 17106
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    Explanations

    references to UFC events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports events and broadcasting details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    awi
    -0.74
    zl
    -0.73
    yip
    -0.69
    akov
    -0.69
     AFB
    -0.66
     Gork
    -0.64
     cav
    -0.64
    eva
    -0.64
    CVE
    -0.63
    romy
    -0.62
    POSITIVE LOGITS
     Playoffs
    0.89
     Playoff
    0.88
    iseum
    0.84
     Championship
    0.82
     Championships
    0.75
     rosters
    0.74
     Rookie
    0.71
    ateurs
    0.71
    mbuds
    0.70
    League
    0.69
    Activations Density 0.346%

    No Known Activations