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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. 11-RES-JB
    11. 16717
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    INDEX
    Explanations

    references to negative actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accountability and scrutiny in institutions or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cember
    -0.77
    veh
    -0.77
     âĸº
    -0.73
    club
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
    */(
    -0.68
    yssey
    -0.68
    âĸ¬âĸ¬
    -0.68
    earchers
    -0.66
    anges
    -0.64
    POSITIVE LOGITS
     hers
    1.08
     its
    1.07
     Cheney
    1.06
     Palin
    1.03
     Greenwald
    1.00
     theirs
    0.99
     Gingrich
    0.97
     his
    0.95
     Scalia
    0.94
     Rove
    0.94
    Activations Density 0.654%

    No Known Activations