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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. 11361
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    Explanations

    mentions of coaches and coaching activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of coaches and coaching roles

    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
     Empires
    -0.74
     smuggling
    -0.63
     Scotia
    -0.62
     Pradesh
    -0.62
    INGTON
    -0.62
    izons
    -0.61
     consulate
    -0.61
     bottleneck
    -0.60
    Characters
    -0.59
     enduring
    -0.58
    POSITIVE LOGITS
    urally
    0.93
    aign
    0.89
    anson
    0.84
    aneers
    0.82
    builder
    0.82
    books
    0.82
    friend
    0.78
    masters
    0.76
    ession
    0.75
     coaches
    0.74
    Activations Density 0.034%

    No Known Activations