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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the name "Tucker"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tucker" and related references to him

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

    No Comments

    Negative Logits
    MAC
    -0.84
    mable
    -0.76
    worldly
    -0.74
    Condition
    -0.74
    ilitating
    -0.71
    saf
    -0.71
    s
    -0.70
    ĪĴ
    -0.68
    binding
    -0.67
    ItemImage
    -0.65
    POSITIVE LOGITS
     Carlson
    0.96
     Tucker
    0.96
    ucker
    0.88
    onom
    0.84
    bilt
    0.77
    essee
    0.74
    hattan
    0.70
    ciating
    0.70
    anut
    0.70
     juice
    0.69
    Activations Density 0.012%

    No Known Activations