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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. 1061
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    Explanations

    references to American football-wide receivers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "receiver" in various 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
    ename
    -0.77
    Beat
    -0.68
    eking
    -0.64
    ogy
    -0.62
    vg
    -0.62
     Barcl
    -0.61
     Maid
    -0.61
    dL
    -0.61
    iewicz
    -0.61
    arist
    -0.61
    POSITIVE LOGITS
     Receiver
    0.91
     receiver
    0.82
    ceiver
    0.81
     Rece
    0.81
    miah
    0.81
     corps
    0.77
    ivity
    0.76
    acers
    0.76
     receivers
    0.76
    hawks
    0.72
    Activations Density 0.013%

    No Known Activations