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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "Mond" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and organizations, particularly in political and societal contexts

    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
    avascript
    -0.85
    IELD
    -0.84
    odcast
    -0.80
    tesy
    -0.78
    ppelin
    -0.77
    atchewan
    -0.71
    osure
    -0.71
    ======
    -0.70
    KEN
    -0.69
    =-=-=-=-
    -0.69
    POSITIVE LOGITS
    ysis
    0.85
    sworth
    0.82
    matter
    0.81
     Mond
    0.78
    rive
    0.75
    lr
    0.73
    gard
    0.72
    uran
    0.72
    til
    0.72
    yssey
    0.71
    Activations Density 0.015%

    No Known Activations