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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. 9-RES-JB
    6. 12917
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    oai_token-act-pair · gpt-3.5-turbo

    references to photo credits and attributions in media content

    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
    lets
    -0.61
    eus
    -0.60
    gem
    -0.60
    rower
    -0.60
    rift
    -0.58
    omore
    -0.58
    uci
    -0.57
    sf
    -0.57
    gt
    -0.56
    ios
    -0.56
    POSITIVE LOGITS
     Story
    0.96
    Camera
    0.68
    Submit
    0.66
    Filename
    0.66
     sidx
    0.65
    arty
    0.65
    ÃĥÃĤ
    0.64
     FREE
    0.64
     TEXT
    0.64
     STORY
    0.63
    Activations Density 0.072%

    No Known Activations