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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. 7-RES-JB
    6. 6584
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    âķIJâķIJ
    -0.43
    âķIJ
    -0.43
    -+-+
    -0.40
    osate
    -0.39
    ß
    -0.39
     Berman
    -0.38
    ©¶æ
    -0.38
    .�
    -0.36
    [_
    -0.36
     Vance
    -0.35
    POSITIVE LOGITS
    ibl
    0.39
    heid
    0.39
    imon
    0.38
    uper
    0.37
    pec
    0.37
    ucket
    0.37
    bowl
    0.36
    bye
    0.35
    ilater
    0.35
     ital
    0.35
    Activations Density 6.074%

    No Known Activations