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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. 6954
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to ecology and environmentalism

    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
     Colt
    -0.68
     Hung
    -0.65
    downs
    -0.64
    down
    -0.63
     rug
    -0.61
     Freed
    -0.61
    ++++++++++++++++
    -0.60
     Alleg
    -0.60
    MENTS
    -0.60
     REPORT
    -0.58
    POSITIVE LOGITS
    stasy
    1.13
    lectic
    1.09
    umen
    1.05
    uador
    1.04
    static
    1.00
    entric
    0.94
    risis
    0.89
    redits
    0.85
    unia
    0.85
    urrency
    0.84
    Activations Density 0.052%

    No Known Activations