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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. 11385
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    Explanations

    mentions of sports-related achievements and accolades

    oai_token-act-pair · gpt-3.5-turbo

    mentions of All-American honors and related accolades in sports contexts

    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
    tm
    -0.75
    irit
    -0.71
    isoft
    -0.71
     Shutterstock
    -0.70
    ku
    -0.70
    zsche
    -0.70
    hod
    -0.69
    uters
    -0.69
    staking
    -0.69
    akespeare
    -0.68
    POSITIVE LOGITS
     Rookie
    1.31
     playoff
    1.28
     playoffs
    1.24
     league
    1.22
     Playoff
    1.18
     postseason
    1.18
     championship
    1.15
     Finals
    1.15
     rookie
    1.14
     Playoffs
    1.13
    Activations Density 0.285%

    No Known Activations