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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. 4-RES-JB
    11. 9107
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    Explanations

    mentions of the name "Dora"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Nora" or variations of it in the text

    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
    starter
    -0.87
    ty
    -0.86
    states
    -0.83
    poor
    -0.82
    leness
    -0.81
    ulative
    -0.80
    sheet
    -0.76
    lings
    -0.75
    line
    -0.74
    ulates
    -0.74
    POSITIVE LOGITS
    uthor
    0.92
    velength
    0.91
     Bore
    0.79
    istas
    0.78
    qua
    0.78
    izont
    0.77
     Vista
    0.77
    emon
    0.76
     Borough
    0.72
    cffffcc
    0.70
    Activations Density 0.009%

    No Known Activations