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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. 10-RES-JB
    11. 16359
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    Explanations

    references to sports events with mentions of specific teams and scores

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.86
    Created
    -0.75
    ascript
    -0.73
    Versions
    -0.68
    successful
    -0.68
    bender
    -0.67
    ships
    -0.66
    irez
    -0.65
    /_
    -0.63
    views
    -0.63
    POSITIVE LOGITS
     Wembley
    1.25
     halftime
    1.24
     home
    1.10
    onement
    1.01
     Anfield
    0.96
     dusk
    0.93
     Soldier
    0.91
     Yankee
    0.89
    home
    0.89
     Ney
    0.89
    Activations Density 0.070%

    No Known Activations