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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. 10-RES-JB
    11. 1144
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    Explanations

    references to "Wall Street"

    oai_token-act-pair · gpt-3.5-turbo

    references to Wall Street

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.90
    orean
    -0.64
     Carbuncle
    -0.64
     Horus
    -0.62
    ciation
    -0.59
    ãģ¦
    -0.59
     Anth
    -0.59
     suscept
    -0.58
    netflix
    -0.58
     hepatitis
    -0.57
    POSITIVE LOGITS
    abies
    1.36
    paper
    1.23
    papers
    1.20
    acea
    1.09
    enberg
    1.06
     Street
    1.06
    onne
    0.99
    aby
    0.97
    enstein
    0.94
    street
    0.91
    Activations Density 0.019%

    No Known Activations