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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. 4-RES-JB
    11. 620
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    Explanations

    dates and publication-related words

    oai_token-act-pair · gpt-3.5-turbo

    the publishing dates of documents

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

    No Comments

    Negative Logits
     Provision
    -0.66
     parity
    -0.66
     merit
    -0.64
    =$
    -0.62
     robbery
    -0.60
    ilege
    -0.60
     token
    -0.60
    efined
    -0.60
    ockets
    -0.58
     Modes
    -0.57
    POSITIVE LOGITS
    âĸ¬
    0.73
    imb
    0.72
     Eater
    0.70
    scene
    0.69
    abeth
    0.66
    handler
    0.66
    FG
    0.66
    aina
    0.66
    vation
    0.66
    Ĥ
    0.65
    Activations Density 0.000%

    No Known Activations