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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. 3-RES-JB
    6. 18739
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    INDEX
    Explanations

    concerns or expressions of worry within texts

    oai_token-act-pair · gpt-3.5-turbo

    references to worries or issues

    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
    nice
    -0.71
    ctors
    -0.71
    gall
    -0.69
    buff
    -0.67
    graph
    -0.64
    SW
    -0.62
    INAL
    -0.62
    cle
    -0.61
    Interview
    -0.60
    tiny
    -0.60
    POSITIVE LOGITS
    afety
    1.06
     concerns
    0.91
     regarding
    0.85
     Concern
    0.81
     raised
    0.80
     pertaining
    0.79
     relating
    0.78
    hooting
    0.78
     concern
    0.78
     arising
    0.76
    Activations Density 0.030%

    No Known Activations