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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. 13617
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    Explanations

    the name "Otto"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name or key character in a narrative context

    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
    meet
    -0.86
    drawn
    -0.78
    flix
    -0.76
    lights
    -0.73
    writers
    -0.72
    craft
    -0.72
    manship
    -0.72
    ned
    -0.71
    liest
    -0.70
    nesota
    -0.69
    POSITIVE LOGITS
    zzi
    1.05
    zzo
    1.03
    zza
    0.96
     Rossi
    0.93
    arella
    0.92
    ieri
    0.89
    otti
    0.87
    zona
    0.84
    ÅŁ
    0.83
    ppe
    0.82
    Activations Density 0.024%

    No Known Activations