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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. 6-RES-JB
    11. 7225
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly notable figures in sports and technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ternal
    -0.88
    stal
    -0.88
    sylvania
    -0.77
    iary
    -0.76
    toggle
    -0.76
    ulates
    -0.76
    lasses
    -0.75
    undo
    -0.75
    aroo
    -0.75
    iaries
    -0.74
    POSITIVE LOGITS
    idge
    0.74
     Coleman
    0.73
     Flavoring
    0.68
     aboard
    0.66
     Hopkins
    0.65
     Hawkins
    0.64
     Weir
    0.64
    Merit
    0.62
    ISE
    0.61
    ä¸Ń
    0.60
    Activations Density 0.045%

    No Known Activations