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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. 1355
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    ritical
    -0.70
    reet
    -0.69
    î
    -0.68
    eka
    -0.68
    xe
    -0.67
    abiding
    -0.67
    carry
    -0.67
    worthiness
    -0.65
    nu
    -0.65
    bda
    -0.65
    POSITIVE LOGITS
     furiously
    0.75
     contingency
    0.73
     preparations
    0.73
     developments
    0.72
     efforts
    0.71
     Phase
    0.71
     frantically
    0.69
     anew
    0.68
     gears
    0.68
     to
    0.66
    Activations Density 0.253%

    No Known Activations