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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. 10-RES-JB
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    Explanations

    mentions of the United States (U.S.)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the United States (U.S.)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Handling
    -0.63
    theless
    -0.62
     Noir
    -0.60
     Convers
    -0.57
     Susp
    -0.57
     summ
    -0.57
     Operator
    -0.55
     Gleaming
    -0.54
     Discipline
    -0.54
     juggling
    -0.54
    POSITIVE LOGITS
    topia
    1.00
    gly
    0.97
    PDATED
    0.93
     States
    0.89
    seless
    0.84
    nexpected
    0.83
    mpire
    0.83
    CLASS
    0.82
    oard
    0.81
    uras
    0.81
    Activations Density 0.038%

    No Known Activations