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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. 17426
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    Explanations

    words related to surprising or shocking events

    oai_token-act-pair · gpt-3.5-turbo

    words indicating significant or surprising events

    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
    ère
    -0.84
    nav
    -0.83
    claimer
    -0.77
    pei
    -0.74
     servicing
    -0.71
     bonded
    -0.69
    ategory
    -0.69
    gang
    -0.68
     hurd
    -0.67
    overe
    -0.66
    POSITIVE LOGITS
    ly
    1.23
    LY
    1.01
     revelations
    0.92
     similarities
    0.87
     resemblance
    0.84
    ingly
    0.84
     coincidence
    0.83
     inconsistencies
    0.79
     revelation
    0.78
     discrepancies
    0.78
    Activations Density 0.076%

    No Known Activations