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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. 5-RES-JB
    6. 15725
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    INDEX
    Explanations

    mentions of cameras

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras and camcorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.79
    hips
    -0.77
     nomine
    -0.76
    ertodd
    -0.72
    theless
    -0.70
    FK
    -0.69
    olesterol
    -0.69
    éĹĺ
    -0.68
     antibodies
    -0.67
     lawy
    -0.67
    POSITIVE LOGITS
    ming
    0.86
    roach
    0.84
    bell
    0.83
    ocular
    0.77
    els
    0.76
    otor
    0.75
    per
    0.75
    mers
    0.74
    orama
    0.74
    oton
    0.73
    Activations Density 0.013%

    No Known Activations