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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. 2-RES-JB
    11. 3117
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    Explanations

    mentions of specific names like "Kotick", "Kotaku", "Kandahar", and "IOC"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or brand, particularly "Kotaku."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.90
    utherford
    -0.80
    IBLE
    -0.68
    elaide
    -0.68
    terday
    -0.67
    ioxide
    -0.65
     ignorance
    -0.65
     confir
    -0.63
    pressure
    -0.63
    anwhile
    -0.62
    POSITIVE LOGITS
     Kot
    1.19
    zeb
    1.18
    lin
    0.95
    aku
    0.89
    ito
    0.84
    zon
    0.83
    estone
    0.82
    aji
    0.81
    zen
    0.79
    zn
    0.79
    Activations Density 0.007%

    No Known Activations