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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. 1342
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    Explanations

    mentions of baseball leagues or levels

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports leagues and levels of competition in baseball and hockey

    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
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.87
    ãĥķ
    -0.76
    cia
    -0.74
    iq
    -0.72
    zsche
    -0.72
    uity
    -0.71
    baugh
    -0.70
    cli
    -0.69
    agi
    -0.69
    ophob
    -0.69
    POSITIVE LOGITS
     playoffs
    1.07
     qualifiers
    1.02
     Championship
    1.00
     Playoffs
    0.95
     Rookie
    0.93
     leagues
    0.92
     strugg
    0.91
     league
    0.89
     semifinals
    0.89
     playoff
    0.89
    Activations Density 0.098%

    No Known Activations