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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. 17801
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    Explanations

    strong emotional or impactful words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms and references related to film and cinema

    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
     glim
    -0.73
    Care
    -0.73
    tu
    -0.72
    want
    -0.71
     Tire
    -0.70
     Ware
    -0.68
    individual
    -0.67
    Ey
    -0.67
    paren
    -0.66
    lip
    -0.66
    POSITIVE LOGITS
    fulness
    0.90
    istically
    0.77
    istic
    0.77
    ful
    0.75
    ISM
    0.74
    imity
    0.73
     cascade
    0.72
    ographed
    0.71
     largeDownload
    0.71
    ument
    0.70
    Activations Density 0.293%

    No Known Activations