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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. 13427
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    INDEX
    Explanations

    mentions of intense or extreme situations, often negative

    oai_token-act-pair · gpt-3.5-turbo

    quotations in the text

    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
     overlook
    -0.71
     favor
    -0.66
     scheduled
    -0.65
     shop
    -0.65
     lookout
    -0.64
     derby
    -0.64
     disapprove
    -0.64
     termin
    -0.64
     tro
    -0.63
     adjud
    -0.63
    POSITIVE LOGITS
    They
    1.27
    We
    1.25
    Our
    1.15
    It
    1.13
    I
    1.12
    There
    1.12
    Where
    1.12
    Sometimes
    1.10
    Too
    1.10
    Because
    1.09
    Activations Density 0.103%

    No Known Activations