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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. 11-RES-JB
    11. 16315
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    INDEX
    Explanations

    phrases related to sports teams and player rotations

    oai_token-act-pair · gpt-3.5-turbo

    references to player roles and team dynamics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.79
    externalActionCode
    -0.74
    imei
    -0.71
    amazon
    -0.70
    iologist
    -0.68
    nces
    -0.66
    alam
    -0.66
     refere
    -0.66
    EVA
    -0.65
     Advertisement
    -0.64
    POSITIVE LOGITS
     roster
    1.56
     lineup
    1.44
     squad
    1.40
     rosters
    1.27
     lineback
    1.24
     rotation
    1.24
     corps
    1.19
     nucleus
    1.18
     bullpen
    1.16
     backfield
    1.15
    Activations Density 0.241%

    No Known Activations