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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8106
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    INDEX
    Explanations

    personal and location names, especially "Shore" and "Weston."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or names associated with places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivia
    -0.94
    ibles
    -0.92
    IBLE
    -0.92
    ible
    -0.91
    orescent
    -0.85
    ibility
    -0.84
    elta
    -0.84
    untu
    -0.84
    orate
    -0.79
    umbnail
    -0.78
    POSITIVE LOGITS
     Shore
    0.97
    stals
    0.90
    bone
    0.89
    pool
    0.83
    line
    0.83
    hoff
    0.83
    castle
    0.82
    craft
    0.81
    brook
    0.81
    ham
    0.80
    Activations Density 0.022%

    No Known Activations