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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. 23182
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    Explanations

    numerical values and technical terms in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and statistics

    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
    ò
    -1.42
    aditional
    -1.39
     exting
    -1.38
     eleph
    -1.37
     pione
    -1.36
    ě
    -1.36
    ö
    -1.35
    ý
    -1.35
    Þ
    -1.35
    À
    -1.35
    POSITIVE LOGITS
    ]=
    0.60
    ://
    0.57
    :/
    0.56
    _
    0.55
    %
    0.55
    \":
    0.54
    't
    0.52
    =
    0.51
    :\
    0.51
    \<
    0.51
    Activations Density 0.261%

    No Known Activations