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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. 1042
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    Explanations

    words related to attractions or points of interest

    oai_token-act-pair · gpt-3.5-turbo

    terms related to tourist attractions

    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
    igans
    -0.73
    ordan
    -0.72
    м
    -0.71
    ennett
    -0.70
    nia
    -0.70
    Ñı
    -0.66
    20439
    -0.66
    monds
    -0.66
     citizenship
    -0.65
    uckles
    -0.65
    POSITIVE LOGITS
     attraction
    1.34
     attractions
    1.21
    ĸļ
    0.96
     Flavoring
    0.92
    pole
    0.75
    rers
    0.74
    inson
    0.70
     Spit
    0.67
    ãħĭ
    0.67
    bucks
    0.67
    Activations Density 0.022%

    No Known Activations