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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. 21993
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    INDEX
    Explanations

    terminology related to light or energy levels

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of light

    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
     surrogate
    -0.90
     diplom
    -0.79
     surrog
    -0.72
     privileges
    -0.70
     ostr
    -0.64
    tu
    -0.64
     overseas
    -0.64
     spurious
    -0.63
     entitlement
    -0.63
     apartheid
    -0.63
    POSITIVE LOGITS
    Light
    3.65
    light
    2.10
     Light
    1.76
     Lighting
    1.71
     light
    1.65
    lights
    1.60
    lighting
    1.58
     Lights
    1.47
     lights
    1.43
     lighting
    1.36
    Activations Density 0.014%

    No Known Activations