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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. 1-RES-JB
    11. 6726
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    INDEX
    Explanations

    words related to statistics and percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to controlled substances or comparisons to saline solutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ranc
    -0.74
     autom
    -0.66
     selves
    -0.66
     amb
    -0.65
     wit
    -0.64
     anim
    -0.64
     totem
    -0.63
    iets
    -0.63
    xon
    -0.62
    utterstock
    -0.62
    POSITIVE LOGITS
    natureconservancy
    0.99
    ãĥīãĥ©ãĤ´ãĥ³
    0.92
     GOODMAN
    0.77
    Mega
    0.76
     Carbuncle
    0.72
    Haunted
    0.70
    click
    0.68
    Reviewer
    0.68
    Anth
    0.67
    Episode
    0.66
    Activations Density 0.000%

    No Known Activations