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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. 6-RES-JB
    6. 4645
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    Explanations

    spokespeople in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to spokespersons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resy
    -0.78
    undo
    -0.76
    ozy
    -0.76
    akespe
    -0.75
    rament
    -0.75
    omer
    -0.73
    ype
    -0.71
    acca
    -0.71
    ustom
    -0.70
    aucus
    -0.70
    POSITIVE LOGITS
     Anne
    1.11
     Marie
    1.07
     Louise
    1.03
     Nicole
    0.99
     Christina
    0.94
     Mary
    0.93
     Margaret
    0.93
     Nina
    0.92
     Elizabeth
    0.91
     Isabel
    0.90
    Activations Density 0.051%

    No Known Activations