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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. 3-RES-JB
    6. 2405
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    INDEX
    Explanations

    terms related to tampering, especially with medications and evidence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social issues and tampering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Annotations
    -0.81
    trap
    -0.76
     Dome
    -0.74
    DragonMagazine
    -0.74
    lust
    -0.71
    é¾
    -0.70
     Prospect
    -0.70
    schild
    -0.69
     Grail
    -0.68
    outube
    -0.68
    POSITIVE LOGITS
    ģ
    0.92
    pper
    0.88
    ating
    0.85
    esthes
    0.84
    aton
    0.83
    emaker
    0.83
    erer
    0.82
    esthetic
    0.81
    ographed
    0.81
    pped
    0.80
    Activations Density 0.018%

    No Known Activations