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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
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    Explanations

    specific venue names related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    locations and names of sports venues

    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
    Lear
    -0.75
     appendix
    -0.73
     gener
    -0.67
    ilyn
    -0.65
    onomy
    -0.65
    rative
    -0.65
    lishes
    -0.64
    phabet
    -0.64
    omorph
    -0.63
    apter
    -0.63
    POSITIVE LOGITS
     Stadium
    1.24
     Resort
    0.99
     Arena
    0.89
     stadium
    0.88
     Station
    0.84
     Observatory
    0.84
     halftime
    0.84
     Plaza
    0.82
     stadiums
    0.81
     Coliseum
    0.81
    Activations Density 0.108%

    No Known Activations