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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4416
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    Explanations

    references to a specific organization or event, potentially related to a forum or conference

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "WE."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ph
    -0.63
     stops
    -0.63
     laps
    -0.62
     Rom
    -0.61
     photography
    -0.61
     Inqu
    -0.60
     notes
    -0.58
     assistant
    -0.57
     another
    -0.57
     Card
    -0.57
    POSITIVE LOGITS
    WE
    4.16
     WE
    1.75
    we
    1.53
    HE
    1.42
    WH
    1.35
    WOOD
    1.21
    JO
    1.18
    YOU
    1.17
    BE
    1.15
    WHO
    1.11
    Activations Density 0.008%

    No Known Activations