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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. 12-RES-JB
    11. 2821
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    INDEX
    Explanations

    dash-separated numerical values

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    negative sentiments or criticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.93
     unbeliev
    -0.92
     totality
    -0.91
     metic
    -0.90
     behavi
    -0.90
     looph
    -0.87
     millenn
    -0.82
     eleph
    -0.81
     fifty
    -0.80
     seventy
    -0.78
    POSITIVE LOGITS
    0
    1.95
    1
    1.80
    2
    1.67
    3
    1.54
    nil
    1.50
    pointer
    1.45
    4
    1.39
    goal
    1.30
    5
    1.28
    pointers
    1.25
    Activations Density 0.050%

    No Known Activations