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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. 3-RES-JB
    11. 4211
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    Explanations

    questions related to the quantity or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases questioning quantity or value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    İĭ
    -0.87
    stead
    -0.83
    zek
    -0.79
    emy
    -0.78
    idon
    -0.78
    ATURES
    -0.77
    utton
    -0.73
    pherd
    -0.72
    jac
    -0.69
    haven
    -0.68
    POSITIVE LOGITS
     ado
    0.77
     else
    0.70
     appreciated
    0.69
     bang
    0.68
     sums
    0.68
     firepower
    0.68
     avail
    0.67
     fun
    0.67
     millenn
    0.67
    soever
    0.66
    Activations Density 0.042%

    No Known Activations