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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. 3-RES-JB
    11. 16548
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    Explanations

    phrases related to specific organizations and job titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    byter
    -0.65
    idia
    -0.64
    rely
    -0.63
    Foot
    -0.62
     comprom
    -0.61
    itary
    -0.61
    agues
    -0.59
    ibi
    -0.59
    obbies
    -0.58
     boosters
    -0.58
    POSITIVE LOGITS
    ,,,,,,,,
    0.90
    ,,,,
    0.85
    ::::::::
    0.81
    tel
    0.79
    ;;;;;;;;
    0.78
    ::::
    0.76
     Canary
    0.76
    ;;;;;;;;;;;;
    0.75
    tra
    0.73
    ;;;;
    0.71
    Activations Density 0.029%

    No Known Activations