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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. 7-RES-JB
    11. 9523
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    Explanations

    references to individuals who have come in second place

    oai_token-act-pair · gpt-3.5-turbo

    references to runners or participants in sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olia
    -0.82
    umbn
    -0.75
    rification
    -0.74
    inian
    -0.70
    ogy
    -0.70
    arial
    -0.70
    rox
    -0.69
    ornia
    -0.69
    orum
    -0.69
     ILCS
    -0.68
    POSITIVE LOGITS
    swick
    0.97
    ners
    0.95
    wear
    0.93
    runner
    0.84
    ways
    0.84
     Runner
    0.81
    bow
    0.81
     runner
    0.79
    gaard
    0.79
     stitch
    0.76
    Activations Density 0.023%

    No Known Activations