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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. 2-RES-JB
    6. 2218
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    INDEX
    Explanations

    mentions of sources of light or their characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of "lights."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    via
    -0.71
    ese
    -0.68
    Attempts
    -0.65
    Relations
    -0.65
    clair
    -0.64
     coli
    -0.64
    gress
    -0.63
    ESE
    -0.62
    Interview
    -0.62
     Expression
    -0.61
    POSITIVE LOGITS
    pots
    1.01
     lights
    1.00
     bulb
    0.99
    creen
    0.98
     bulbs
    0.94
    peed
    0.93
    lights
    0.91
    aber
    0.91
    ilver
    0.91
     torches
    0.90
    Activations Density 0.009%

    No Known Activations