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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. 11-RES-JB
    11. 17503
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    Explanations

    references to the term "Monster"

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of monsters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acia
    -0.72
    olitan
    -0.70
    monds
    -0.69
    ories
    -0.68
    Topic
    -0.68
    ould
    -0.64
    ierra
    -0.64
    artz
    -0.63
    onica
    -0.63
    ©¶æ
    -0.63
    POSITIVE LOGITS
     vanquished
    0.96
     inhab
    0.90
     hordes
    0.83
     lurking
    0.83
     lair
    0.83
     horde
    0.82
     creature
    0.82
    hunter
    0.81
     roar
    0.80
     prow
    0.80
    Activations Density 0.088%

    No Known Activations