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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. 3-RES-JB
    11. 2923
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Where"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yi
    -0.65
    ³³³³³³³³
    -0.64
    ATURE
    -0.63
     Doctrine
    -0.62
    asts
    -0.61
    rolet
    -0.61
    wave
    -0.61
    wu
    -0.60
    astics
    -0.60
    )].
    -0.60
    POSITIVE LOGITS
    abouts
    1.33
    upon
    1.33
    fore
    1.17
    soever
    1.15
    ver
    0.93
    ãĥ¯ãĥ³
    0.79
     else
    0.76
    with
    0.74
    acan
    0.72
    where
    0.72
    Activations Density 0.061%

    No Known Activations