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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. 7-RES-JB
    6. 15836
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    Explanations

    phrases or terms indicating restriction or limitation to a specific group or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate restrictions or limitations on use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.67
    idon
    -0.60
    insula
    -0.59
    raught
    -0.58
    duino
    -0.58
     Nurs
    -0.57
    illin
    -0.57
     PLUS
    -0.57
    env
    -0.56
    anon
    -0.55
    POSITIVE LOGITS
     marginally
    0.97
    ices
    0.94
    ICES
    0.84
     spor
    0.80
     incidentally
    0.77
     kidding
    0.75
     insofar
    0.74
     lasts
    0.73
     scratches
    0.72
    onse
    0.71
    Activations Density 0.059%

    No Known Activations