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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. 24317
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    INDEX
    Explanations

    computer programming commands/functions, specifically related to moving data or information

    oai_token-act-pair · gpt-3.5-turbo

    mentions of movies and characters

    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
    ©¶æ
    -0.73
    Ĥª
    -0.73
    BRE
    -0.64
    places
    -0.64
     perverse
    -0.64
    Ĥ¬
    -0.62
     Carnival
    -0.62
     Wonderland
    -0.61
     raids
    -0.61
    Bay
    -0.61
    POSITIVE LOGITS
    ijn
    0.95
    zx
    0.92
    iage
    0.82
    ott
    0.76
    arsity
    0.75
    atron
    0.75
    aneous
    0.74
    eneg
    0.74
    iem
    0.74
     mov
    0.73
    Activations Density 0.009%

    No Known Activations