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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18206
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.84
    cffff
    -0.83
    technical
    -0.75
    direction
    -0.75
    querque
    -0.75
    ints
    -0.72
    nown
    -0.72
    ozy
    -0.71
    riter
    -0.71
    taboola
    -0.71
    POSITIVE LOGITS
     Marie
    1.30
     Lynn
    1.22
     Mae
    1.21
     Louise
    1.20
     Anne
    1.20
    Anne
    1.18
     Nicole
    1.16
     herself
    1.14
    Marie
    1.13
     Rae
    1.05
    Activations Density 0.279%

    No Known Activations