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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. 12908
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    ablishment
    -0.75
    acebook
    -0.71
    undai
    -0.69
    ournal
    -0.69
    ossier
    -0.68
    ccording
    -0.68
    ggle
    -0.68
    LEASE
    -0.67
     referen
    -0.66
    alach
    -0.65
    POSITIVE LOGITS
     Jr
    1.07
     III
    1.05
    gren
    0.91
    gaard
    0.89
     aka
    0.87
     QC
    0.84
    etti
    0.83
     (@
    0.82
    berg
    0.81
    quist
    0.79
    Activations Density 0.204%

    No Known Activations