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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. 0-RES-JB
    11. 20476
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    Explanations

    numerical values representing quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 35 and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Embedding Space Digit Features

    No Comments

    Negative Logits
    ocol
    -0.75
    owski
    -0.72
    der
    -0.69
     crow
    -0.67
     Scrib
    -0.66
     subscript
    -0.66
    tern
    -0.66
     marsh
    -0.66
    vern
    -0.65
     fundament
    -0.64
    POSITIVE LOGITS
     35
    2.52
    35
    2.13
     34
    1.67
     55
    1.62
     36
    1.55
     65
    1.55
     33
    1.52
     105
    1.50
     350
    1.50
     85
    1.49
    Activations Density 0.055%

    No Known Activations