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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. 0-RES-JB
    6. 21093
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    INDEX
    Explanations

    mentions of physical structures or barriers like walls

    oai_token-act-pair · gpt-3.5-turbo

    references to a physical barrier or wall

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ake
    -0.83
    Lear
    -0.72
    invoke
    -0.71
    registered
    -0.71
     Lear
    -0.68
    akh
    -0.66
    acca
    -0.65
    served
    -0.64
    Topics
    -0.63
    iblings
    -0.63
    POSITIVE LOGITS
     wall
    3.68
     walls
    2.61
    wall
    2.24
    Wall
    2.03
     Wall
    1.88
     Walls
    1.85
     fence
    1.67
     ceiling
    1.66
     barrier
    1.47
     firewall
    1.30
    Activations Density 0.009%

    No Known Activations