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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. 7-RES-JB
    11. 9533
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    Explanations

    specific mentions of quantities or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Seat
    -0.77
     Frontier
    -0.69
    inates
    -0.66
     cradle
    -0.64
    asts
    -0.60
    aldi
    -0.60
     caste
    -0.59
    inating
    -0.59
    Blade
    -0.59
    inant
    -0.58
    POSITIVE LOGITS
     amounts
    1.01
     amount
    0.97
    ngth
    0.92
    pour
    0.84
     payable
    0.78
     quantities
    0.75
    encies
    0.74
    ucha
    0.72
    entially
    0.71
    ume
    0.71
    Activations Density 0.031%

    No Known Activations