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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. 2183
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    INDEX
    Explanations

    phrases related to traveling and transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to luggage and artwork

    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
    mega
    -0.73
    arb
    -0.70
    bern
    -0.69
    eln
    -0.69
    neys
    -0.66
    erate
    -0.65
    ital
    -0.64
    otin
    -0.63
    sole
    -0.63
    ulner
    -0.62
    POSITIVE LOGITS
    shed
    0.86
    tesy
    0.77
    flows
    0.68
    works
    0.68
    channelAvailability
    0.66
     surrounds
    0.66
     surfaces
    0.64
    pmwiki
    0.64
    pieces
    0.63
     spilled
    0.63
    Activations Density 0.068%

    No Known Activations