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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. 23544
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    Explanations

    words related to a specific product or brand named "Kodo" with varying activations for different spellings and contexts

    oai_token-act-pair · gpt-3.5-turbo

    the term "odo" likely related to automobiles or a specific brand

    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
     Stras
    -0.72
     Immunity
    -0.68
     CK
    -0.66
    retion
    -0.63
     Kelvin
    -0.63
    picking
    -0.63
     Wiggins
    -0.62
    amps
    -0.62
    tight
    -0.59
    bent
    -0.58
    POSITIVE LOGITS
    odo
    1.14
    uary
    0.91
    etsk
    0.83
    jo
    0.82
    atta
    0.80
    velop
    0.78
    okia
    0.76
    ÄŁ
    0.75
    estate
    0.75
    orm
    0.74
    Activations Density 0.014%

    No Known Activations