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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. 7-RES-JB
    11. 7469
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    Explanations

    phrases with the word "extract"

    oai_token-act-pair · gpt-3.5-turbo

    words related to external factors or influences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.77
    ãĤ´ãĥ³
    -0.73
    folk
    -0.69
    geist
    -0.69
     Trend
    -0.69
     Garland
    -0.68
    quartered
    -0.67
    TPPStreamerBot
    -0.66
     Knights
    -0.66
     Nanto
    -0.65
    POSITIVE LOGITS
    ention
    1.08
    ensional
    1.04
    entric
    0.99
    itud
    0.97
    ensive
    0.96
    ender
    0.95
    inctions
    0.94
    ensible
    0.94
    ingu
    0.93
    ents
    0.92
    Activations Density 0.013%

    No Known Activations