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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. 0-RES-JB
    6. 14042
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    Explanations

    phrases describing things that are located or happening on the outside

    oai_token-act-pair · gpt-3.5-turbo

    references to external locations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commission
    -0.62
     coll
    -0.61
     leve
    -0.60
    uly
    -0.58
     liar
    -0.57
     quadru
    -0.57
     thanks
    -0.55
     foll
    -0.55
     syndrome
    -0.55
    eries
    -0.55
    POSITIVE LOGITS
    Outside
    3.50
     Outside
    3.19
    outside
    2.36
    Inside
    1.91
     Inside
    1.85
     outside
    1.71
    inside
    1.64
    Elsewhere
    1.33
     Across
    1.24
    Across
    1.23
    Activations Density 0.015%

    No Known Activations