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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. 11-RES-JB
    11. 1453
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    Explanations

    phrases related to reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant contributions or roles of groups or individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     shenan
    -0.56
     glim
    -0.53
    .","
    -0.51
    hend
    -0.48
    cffff
    -0.48
    izoph
    -0.47
     streng
    -0.45
    oshenko
    -0.45
     detriment
    -0.44
     cov
    -0.44
    POSITIVE LOGITS
    to
    1.12
     to
    1.04
    To
    0.71
     To
    0.65
     TO
    0.63
    ãĤ·ãĥ£
    0.60
     ta
    0.60
    reviewed
    0.58
    assetsadobe
    0.55
    nih
    0.55
    Activations Density 0.297%

    No Known Activations