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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. 13826
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    Explanations

    phrases related to business operations and financial matters

    oai_token-act-pair · gpt-3.5-turbo

    financial and regulatory topics, particularly related to revenue and policies

    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
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.61
    liv
    -0.58
    ãģ£
    -0.58
    orld
    -0.57
    VIDEO
    -0.54
    EMBER
    -0.54
    bare
    -0.53
    jury
    -0.52
    anni
    -0.52
    ãĥ
    -0.51
    POSITIVE LOGITS
     these
    1.02
     this
    0.99
     them
    0.91
    these
    0.76
     it
    0.73
     such
    0.73
     him
    0.71
     THESE
    0.68
     THIS
    0.62
    this
    0.61
    Activations Density 1.021%

    No Known Activations