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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. 16554
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    Explanations

    actions involving physical contact and movement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to warmth and comfort in challenging situations

    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
     Malays
    -0.70
     Revision
    -0.60
     Australians
    -0.60
     Harper
    -0.60
    clinton
    -0.60
     Conservatives
    -0.60
    hillary
    -0.58
     Journalism
    -0.58
    Pakistan
    -0.58
     Clintons
    -0.58
    POSITIVE LOGITS
     unsuspecting
    0.83
     undet
    0.82
    )).
    0.76
     eternity
    0.71
     prest
    0.71
     desired
    0.70
     blinding
    0.69
     predetermined
    0.68
     unprotected
    0.68
     nearby
    0.66
    Activations Density 1.584%

    No Known Activations