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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. 1366
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    Explanations

    the word "it"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "it" used in various contexts

    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
    KER
    -0.70
    SPONSORED
    -0.65
    º
    -0.65
     sheer
    -0.64
    EStream
    -0.62
    Ļ½
    -0.62
    ´
    -0.62
    ¥ŀ
    -0.60
    ·
    -0.59
    HAM
    -0.59
    POSITIVE LOGITS
    uary
    1.09
    chell
    1.05
    amins
    1.04
    ocracy
    0.94
    anium
    0.94
    rogen
    0.91
    igation
    0.89
    geist
    0.89
    ravel
    0.88
    ihad
    0.88
    Activations Density 0.067%

    No Known Activations