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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. 2-RES-JB
    11. 9239
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    Explanations

    mentions of the word "Sham"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Sham" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.75
    lihood
    -0.72
     frequent
    -0.69
     Gerry
    -0.68
    IBLE
    -0.68
     sugg
    -0.65
     compounded
    -0.65
    PsyNetMessage
    -0.63
     Prospect
    -0.63
     Extrem
    -0.63
    POSITIVE LOGITS
    eless
    1.23
    rock
    1.11
    Sham
    1.10
    blers
    1.07
    aji
    1.01
     Sham
    0.95
    arie
    0.95
    ory
    0.92
    akh
    0.90
    abal
    0.89
    Activations Density 0.015%

    No Known Activations