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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. 2-RES-JB
    11. 6025
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    INDEX
    Explanations

    descriptive terms indicating a high level of intensity or involvement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "heavily."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.91
    scl
    -0.77
     Thumbnails
    -0.77
    iry
    -0.71
     Chaser
    -0.71
    abad
    -0.70
     Machina
    -0.69
     Parables
    -0.69
     Kids
    -0.67
     Tackle
    -0.67
    POSITIVE LOGITS
     heavily
    0.88
     subsid
    0.87
     concentrated
    0.85
     armoured
    0.85
     enough
    0.82
     populated
    0.80
     correlated
    0.79
     armored
    0.79
     reliant
    0.77
     congest
    0.77
    Activations Density 0.010%

    No Known Activations