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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3883
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    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
    DragonMagazine
    -0.49
    âķIJâķIJ
    -0.44
    ¶
    -0.43
     lapt
    -0.42
    âķIJ
    -0.41
     Berman
    -0.41
    [_
    -0.41
    channelAvailability
    -0.40
    ß
    -0.40
     Pwr
    -0.40
    POSITIVE LOGITS
    ibl
    0.42
    imon
    0.37
    uper
    0.36
    rament
    0.36
    ibur
    0.35
    ilater
    0.35
     comprom
    0.35
    bye
    0.35
    quila
    0.34
     choke
    0.34
    Activations Density 6.101%

    No Known Activations