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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. 9-RES-JB
    11. 3291
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    Explanations

    words related to thinness or slimness

    oai_token-act-pair · gpt-3.5-turbo

    references to thinness or minimal thickness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    bucks
    -0.65
    zeb
    -0.64
    wow
    -0.62
    ktop
    -0.61
     Ready
    -0.61
    eering
    -0.61
     Quake
    -0.60
    dam
    -0.59
    HI
    -0.59
    OUP
    -0.58
    POSITIVE LOGITS
    ned
    1.50
    ning
    1.46
    ners
    1.19
    nesses
    0.92
    nery
    0.90
    bread
    0.90
    ness
    0.89
    aceous
    0.88
    ening
    0.87
    med
    0.87
    Activations Density 0.026%

    No Known Activations