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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. 6-RES-JB
    6. 5397
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    Explanations

    phrases related to specific actions or events involving law enforcement or criminal activity

    oai_token-act-pair · gpt-3.5-turbo

    references to notable events or people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sugg
    -0.71
     STE
    -0.66
    ufact
    -0.66
     ensured
    -0.62
     Dietary
    -0.61
     maintains
    -0.61
     ascert
    -0.60
     ensures
    -0.60
     Sched
    -0.58
     acquired
    -0.58
    POSITIVE LOGITS
     unfold
    0.92
    aily
    0.76
    icol
    0.71
     firsthand
    0.71
    escape
    0.71
     emerge
    0.69
    querade
    0.69
    pour
    0.68
    figure
    0.67
    Advertisements
    0.65
    Activations Density 0.505%

    No Known Activations