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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. 11-RES-JB
    11. 9467
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    Explanations

    references to the city of Austin

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Austin."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.77
    icz
    -0.76
    theless
    -0.73
    ple
    -0.68
     externalToEVAOnly
    -0.67
    hin
    -0.67
    ãĥ¯
    -0.65
    ROR
    -0.63
    plets
    -0.62
    colour
    -0.62
    POSITIVE LOGITS
     Austin
    0.98
    Austin
    0.93
     Powers
    0.85
     TX
    0.79
     Dillon
    0.77
     Chronicle
    0.75
     Spurs
    0.74
     Petersen
    0.74
    ites
    0.72
    iom
    0.72
    Activations Density 0.049%

    No Known Activations