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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. 1-RES-JB
    11. 320
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    Explanations

    mentions of severe weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    the term "rough."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.75
    IDA
    -0.75
    Reviewed
    -0.73
    PLA
    -0.70
    Yu
    -0.68
    illary
    -0.68
    alian
    -0.67
     Ministry
    -0.66
    EXP
    -0.64
    INC
    -0.64
    POSITIVE LOGITS
    rough
    1.15
    sie
    0.76
    soever
    0.75
    cliffe
    0.74
    sts
    0.73
    son
    0.72
    icz
    0.72
    cery
    0.70
    pter
    0.69
    tons
    0.68
    Activations Density 0.005%

    No Known Activations