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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. 22672
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    Explanations

    photographs or descriptions of people and places

    oai_token-act-pair · gpt-3.5-turbo

    references to images or visual depictions

    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
    alities
    -0.78
    mental
    -0.77
    ances
    -0.76
    mails
    -0.76
    acies
    -0.74
    omsky
    -0.73
    ally
    -0.68
    angan
    -0.68
    mit
    -0.67
    mens
    -0.66
    POSITIVE LOGITS
     above
    1.05
     below
    0.95
     pictured
    0.94
     Thumbnails
    0.93
    above
    0.91
     Above
    0.86
     BELOW
    0.82
     smiling
    0.80
     photograp
    0.75
     gallery
    0.75
    Activations Density 0.037%

    No Known Activations