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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. 5-RES-JB
    6. 576
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    Explanations

    phrases related to actions or decisions with significant consequences

    oai_token-act-pair · gpt-3.5-turbo

    topics related to legal and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Samar
    -0.63
    guyen
    -0.54
     deprecated
    -0.53
    ucket
    -0.53
    umbnails
    -0.52
    xtap
    -0.51
    quart
    -0.50
    BuyableInstoreAndOnline
    -0.49
     shoulders
    -0.49
     acron
    -0.49
    POSITIVE LOGITS
    ãĢĤ
    0.80
    )).
    0.76
    .''.
    0.73
     ASAP
    0.71
    .$
    0.69
     elsewhere
    0.69
     someday
    0.68
     safely
    0.66
    .</
    0.66
     whilst
    0.66
    Activations Density 1.141%

    No Known Activations