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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. 4341
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    etheless
    -0.84
     shroud
    -0.74
     litter
    -0.69
     diver
    -0.67
    anwhile
    -0.66
     silence
    -0.64
     haunt
    -0.64
     physical
    -0.63
     vain
    -0.63
    terday
    -0.62
    POSITIVE LOGITS
    Serv
    0.93
    atoon
    0.92
    aci
    0.91
    urion
    0.89
    ivot
    0.88
    ington
    0.87
    heim
    0.86
    atz
    0.86
    acion
    0.85
    ollo
    0.85
    Activations Density 0.265%

    No Known Activations