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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. 6695
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    Explanations

    movie-related words and terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to movie reviews and specific film content

    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
     FreeBSD
    -0.91
     congen
    -0.75
     standardized
    -0.71
     guarant
    -0.69
     maternity
    -0.69
    UTC
    -0.67
    ifax
    -0.65
    expr
    -0.64
    raham
    -0.64
     Camden
    -0.63
    POSITIVE LOGITS
    licks
    3.57
     flick
    3.13
     blink
    1.09
    iddling
    1.01
     Hust
    0.95
     Reeves
    0.94
    plays
    0.90
    alam
    0.90
     chops
    0.89
     whis
    0.86
    Activations Density 0.043%

    No Known Activations