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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. 8-RES-JB
    6. 21399
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    INDEX
    Explanations

    words related to language and communication

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases expressing certainty and opinions about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dule
    -0.63
     packets
    -0.60
     packet
    -0.58
    rote
    -0.58
    budget
    -0.55
     administered
    -0.55
     proposals
    -0.55
     receipt
    -0.54
    execute
    -0.54
    vol
    -0.53
    POSITIVE LOGITS
     exacerbated
    0.94
     understatement
    0.91
     evidenced
    0.85
     understandable
    0.82
     compounded
    0.81
     why
    0.81
     reason
    0.80
     unsur
    0.79
    quickShipAvailable
    0.79
     reflected
    0.79
    Activations Density 0.443%

    No Known Activations