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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. 6-RES-JB
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    Explanations

    terms related to sports coaching

    oai_token-act-pair · gpt-3.5-turbo

    references to coaches and coaching within a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Scotia
    -0.64
    uct
    -0.64
    asking
    -0.64
     Empires
    -0.63
    isal
    -0.62
    selves
    -0.62
    nery
    -0.61
    Characters
    -0.61
     Pradesh
    -0.61
     smuggling
    -0.60
    POSITIVE LOGITS
    urally
    0.96
    aign
    0.79
    aneers
    0.76
    builder
    0.75
     trainer
    0.75
    ovie
    0.74
     Bobby
    0.74
     Gregg
    0.73
     coach
    0.73
     Willie
    0.72
    Activations Density 0.036%

    No Known Activations