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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. 16842
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    INDEX
    Explanations

    numbers related to weights

    oai_token-act-pair · gpt-3.5-turbo

    references to weights measured in kilograms

    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
    gotten
    -0.66
     Snapchat
    -0.65
     Dee
    -0.60
     Perse
    -0.60
     BET
    -0.59
    bidden
    -0.59
     Tale
    -0.58
    structed
    -0.58
     Explain
    -0.58
     Bohem
    -0.57
    POSITIVE LOGITS
    atsu
    0.92
    kg
    0.85
    ingly
    0.84
    ross
    0.82
    rieg
    0.80
    JV
    0.77
    omez
    0.77
    enger
    0.77
    rams
    0.76
     kg
    0.76
    Activations Density 0.008%

    No Known Activations