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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. 7-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esides
    -0.73
    anwhile
    -0.66
     crossings
    -0.64
    erella
    -0.61
    entials
    -0.60
    hement
    -0.59
    luster
    -0.59
    autical
    -0.59
    enegger
    -0.58
     intersections
    -0.58
    POSITIVE LOGITS
     alias
    0.71
    ©¶æ
    0.67
    ãĤ¦ãĤ¹
    0.67
     Member
    0.64
    Script
    0.64
    ð
    0.63
     {"
    0.63
    bos
    0.63
    false
    0.63
     è£ıç
    0.62
    Activations Density 0.261%

    No Known Activations