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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. 2-RES-JB
    11. 490
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    Explanations

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    oai_token-act-pair · gpt-4-turbo

    financial figures and related terms

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically closing parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enta
    -0.67
    asha
    -0.60
    kus
    -0.59
    hor
    -0.58
     commission
    -0.57
    icial
    -0.57
    chin
    -0.55
    Dir
    -0.55
    ¬¼
    -0.55
    Thumbnail
    -0.54
    POSITIVE LOGITS
     Flavoring
    0.81
     namely
    0.73
    then
    0.69
     nevertheless
    0.68
     however
    0.66
     whereas
    0.65
     etc
    0.64
    etc
    0.64
    Nap
    0.64
    along
    0.63
    Activations Density 0.055%

    No Known Activations