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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. 9-RES-JB
    11. 2474
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    Explanations

    weapons, particularly spears and swords

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĸ¹
    -0.76
    nih
    -0.69
    OTOS
    -0.68
    apses
    -0.66
    cation
    -0.65
    sbm
    -0.64
    apse
    -0.64
    Boo
    -0.64
    ĸļ
    -0.62
    ilies
    -0.61
    POSITIVE LOGITS
    head
    1.14
    fish
    1.04
    tip
    1.01
    heading
    1.00
    heads
    0.96
    sonian
    0.92
    manship
    0.91
    board
    0.87
    axe
    0.86
    point
    0.86
    Activations Density 0.103%

    No Known Activations