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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. 17958
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    INDEX
    Explanations

    phrases related to physical harm or injury

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and participles in relation to actions or activities

    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
    Present
    -0.79
    lance
    -0.73
    present
    -0.72
    κ
    -0.68
    draw
    -0.68
    ingen
    -0.68
    Jump
    -0.66
    writer
    -0.66
    staff
    -0.66
    lander
    -0.65
    POSITIVE LOGITS
    imentary
    0.85
    axy
    0.81
    gorith
    0.79
    azar
    0.78
    gorithm
    0.76
    ergic
    0.73
    enaries
    0.70
    ISTER
    0.70
    arine
    0.68
    abama
    0.68
    Activations Density 0.016%

    No Known Activations