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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    words related to the brand "Pizza Hut."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands, particularly 'Hut' in relation to Pizza Hut and associated contexts

    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
    Ast
    -0.79
    ðĿ
    -0.75
    ALT
    -0.70
    Heart
    -0.69
    Wheel
    -0.67
     Dent
    -0.67
    umm
    -0.67
    Amount
    -0.65
    ran
    -0.64
    IRC
    -0.64
    POSITIVE LOGITS
    quarters
    0.94
    chens
    0.93
    tics
    0.81
    ãĥ¼ãĥĨãĤ£
    0.79
    alions
    0.75
     extermination
    0.74
    fare
    0.73
    Ĥ¬
    0.72
    shoot
    0.71
    tical
    0.71
    Activations Density 0.034%

    No Known Activations