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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. 6489
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    names containing the sequence "Hir" followed by a high activation value

    oai_token-act-pair · gpt-3.5-turbo
    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
    icum
    -0.90
    elaide
    -0.81
    ornia
    -0.79
    onyms
    -0.76
    istically
    -0.75
    efficients
    -0.74
    ress
    -0.73
    nered
    -0.71
    berra
    -0.69
    static
    -0.69
    POSITIVE LOGITS
     Hir
    0.97
     ç¥ŀ
    0.80
    sbm
    0.78
     Flore
    0.76
     Sins
    0.71
     sidx
    0.71
    ä¸Ń
    0.68
    nton
    0.68
     Nether
    0.68
     Lent
    0.67
    Activations Density 0.025%

    No Known Activations