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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. 12409
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    Explanations

    numerical values within text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to social issues

    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
    ãĤ¸
    -0.72
    soType
    -0.59
    abling
    -0.59
    gal
    -0.59
    angelo
    -0.58
    ãĥ¼ãĥ«
    -0.56
    ilateral
    -0.56
    00200000
    -0.56
    multipl
    -0.55
     Revision
    -0.53
    POSITIVE LOGITS
     survived
    1.35
     were
    1.33
     are
    1.24
     succumbed
    1.24
     stayed
    1.23
     remained
    1.20
     died
    1.17
     remain
    1.17
     went
    1.16
     belonged
    1.12
    Activations Density 0.200%

    No Known Activations