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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. 15336
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    INDEX
    Explanations

    specific words related to research outcomes or conclusions that are significant or noteworthy

    oai_token-act-pair · gpt-3.5-turbo

    references to research findings or studies

    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
    mph
    -0.66
     monop
    -0.65
    bid
    -0.64
     leisure
    -0.63
    osi
    -0.63
     schooling
    -0.61
     paced
    -0.61
    rons
    -0.61
     Cav
    -0.60
     bicy
    -0.59
    POSITIVE LOGITS
    iveness
    1.04
     findings
    0.89
    uggest
    0.88
    ivist
    0.87
    ĸļ
    0.85
    DragonMagazine
    0.84
    ãĤ¦ãĤ¹
    0.81
    ãĥĻ
    0.78
    itute
    0.74
    TextColor
    0.74
    Activations Density 0.030%

    No Known Activations