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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. 22806
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    INDEX
    Explanations

    phrases related to economic improvements and stock market trends

    oai_token-act-pair · gpt-3.5-turbo

    significant thematic breaks or transitions in the text

    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
     Azerb
    -0.14
     thous
    -0.10
     indo
    -0.10
     citiz
    -0.10
    ĪĴ
    -0.10
     miscon
    -0.10
     pilgr
    -0.10
     newcom
    -0.10
     millenn
    -0.09
     disgr
    -0.09
    POSITIVE LOGITS
    ↵
    0.13
    The
    0.12
    G
    0.12
    I
    0.11
    B
    0.11
    In
    0.11
    <|endoftext|>
    0.11
    S
    0.11
    Share
    0.11
    This
    0.11
    Activations Density 0.781%

    No Known Activations