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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. 9-RES-JB
    11. 3476
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    INDEX
    Explanations

    scientific and technical terms or jargon

    oai_token-act-pair · gpt-3.5-turbo

    references to anti-science themes and critiques related to factual accuracy or misinformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éļ
    -0.72
    911
    -0.67
    ħĭ
    -0.65
     LIST
    -0.63
    GES
    -0.63
     Persons
    -0.62
     Mug
    -0.61
    士
    -0.59
    _(
    -0.59
     outnumbered
    -0.58
    POSITIVE LOGITS
     goodness
    1.25
     firepower
    1.17
     stuff
    1.16
     chatter
    1.07
     crap
    1.06
     imagery
    1.04
     nonsense
    1.04
     footage
    1.02
     information
    1.02
     fodder
    0.99
    Activations Density 0.665%

    No Known Activations