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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. 4-RES-JB
    11. 15678
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    Explanations

    names of people, potentially related to sports

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals mentioned in relation to events or contexts

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

    No Comments

    Negative Logits
    atory
    -0.81
    uracy
    -0.79
    erie
    -0.78
    ilateral
    -0.76
    OAD
    -0.75
    utive
    -0.74
    raham
    -0.74
    uting
    -0.71
    ulating
    -0.71
    glers
    -0.71
    POSITIVE LOGITS
     Rivals
    0.75
    geist
    0.74
     Nom
    0.69
    yard
    0.65
     Raider
    0.64
     Voters
    0.64
     Generations
    0.63
     previews
    0.62
    ye
    0.61
    omething
    0.60
    Activations Density 0.025%

    No Known Activations