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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. 9-RES-JB
    11. 23045
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    Explanations

    mentions of locations, particularly the White House

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "White House."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.79
    rawdownloadcloneembedreportprint
    -0.72
    yrinth
    -0.71
    Downloadha
    -0.71
    awaru
    -0.69
     metab
    -0.67
     practise
    -0.66
     captcha
    -0.66
    REM
    -0.65
    lessly
    -0.64
    POSITIVE LOGITS
     House
    1.18
     Sox
    1.13
    house
    1.04
    hall
    1.02
    House
    0.98
    ewater
    0.95
     supremacist
    0.93
    hurst
    0.90
    caps
    0.88
     supremacists
    0.87
    Activations Density 0.020%

    No Known Activations