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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. 4-RES-JB
    6. 3906
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    INDEX
    Explanations

    phrases or words that indicate praise or admiration

    oai_token-act-pair · gpt-3.5-turbo

    words associated with accolades or positive recognition

    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
     cooker
    -0.79
    xus
    -0.76
     residue
    -0.75
    thia
    -0.72
    omaly
    -0.72
    vati
    -0.71
    hing
    -0.71
    heed
    -0.70
     allergies
    -0.69
     diapers
    -0.68
    POSITIVE LOGITS
     praise
    0.81
     hailed
    0.75
     praises
    0.74
     aloud
    0.74
     acclaim
    0.70
    Rated
    0.70
     praised
    0.69
     virtues
    0.69
     applauded
    0.69
    ESPN
    0.69
    Activations Density 0.035%

    No Known Activations