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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. 3-RES-JB
    11. 16290
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    Explanations

    mentions of American football positions, specifically the position of a receiver

    oai_token-act-pair · gpt-3.5-turbo

    references to football receivers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ename
    -0.76
    uca
    -0.67
    Beat
    -0.67
    vg
    -0.67
    udic
    -0.65
    ogy
    -0.64
    cius
    -0.63
     Adventures
    -0.61
    -+
    -0.60
     arresting
    -0.60
    POSITIVE LOGITS
     Receiver
    0.99
     receiver
    0.93
    miah
    0.92
     receivers
    0.87
     Rece
    0.83
    ceiver
    0.83
    acers
    0.79
    nect
    0.78
    DERR
    0.77
     antennas
    0.77
    Activations Density 0.014%

    No Known Activations