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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. 5793
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    Explanations

    adjectives describing things that are frail or vulnerable

    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
     Sloan
    -0.66
     Crowley
    -0.66
     Andromeda
    -0.66
     McCann
    -0.66
     Motorsport
    -0.65
     Newly
    -0.65
    agher
    -0.65
     Bride
    -0.63
    illon
    -0.62
     Lauren
    -0.62
    POSITIVE LOGITS
    nesses
    1.29
    lings
    1.28
    ling
    1.12
    ens
    1.07
    ly
    1.03
    ening
    1.02
    ener
    0.99
    ened
    0.98
    les
    0.88
    minded
    0.86
    Activations Density 0.031%

    No Known Activations