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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. 7353
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    INDEX
    Explanations

    names of people and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals and teams

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.72
    amera
    -0.71
    IJ
    -0.71
    Ô
    -0.68
    matical
    -0.67
    Construct
    -0.65
    washer
    -0.64
     pci
    -0.64
     Container
    -0.63
     Papers
    -0.63
    POSITIVE LOGITS
    joy
    1.00
    kers
    0.87
    ieties
    0.86
     Saunders
    0.82
    nesday
    0.81
     Lans
    0.77
    lov
    0.75
     Bolton
    0.73
     Somers
    0.72
     Wolves
    0.71
    Activations Density 0.027%

    No Known Activations