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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15895
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    INDEX
    Explanations

    references to news article sections

    oai_token-act-pair · gpt-3.5-turbo

    instances of high activation or emphasis in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.70
     tradem
    -0.68
     amnesty
    -0.67
     estranged
    -0.66
     theirs
    -0.66
     reper
    -0.65
     deposit
    -0.65
     entitle
    -0.65
     endeav
    -0.62
     sensibilities
    -0.62
    POSITIVE LOGITS
    Still
    1.09
    CLOSE
    1.08
    WASHINGTON
    1.08
    Abstract
    0.99
    Trivia
    0.99
    Overview
    0.99
    Quote
    0.98
    Media
    0.97
    HOU
    0.97
    Description
    0.97
    Activations Density 0.080%

    No Known Activations