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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
    11. 9691
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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
     coat
    -0.66
    LESS
    -0.65
    asus
    -0.61
     annex
    -0.58
    lich
    -0.57
     LINE
    -0.57
    flix
    -0.56
     nucleus
    -0.54
     embryonic
    -0.54
     unity
    -0.54
    POSITIVE LOGITS
    uggest
    1.31
    hip
    1.25
    hips
    1.23
    hooting
    1.19
    uits
    1.18
    poons
    1.14
    peed
    1.13
    paces
    1.10
    ourcing
    1.07
    pring
    1.06
    Activations Density 0.343%

    No Known Activations