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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. 15469
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    Explanations

    vehicles or transportation-related information

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with movement or transport

    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
    chini
    -0.76
    ochond
    -0.72
    zip
    -0.70
    ppa
    -0.69
    uckle
    -0.68
    cking
    -0.66
    athy
    -0.66
    anya
    -0.65
    peg
    -0.64
    hemy
    -0.63
    POSITIVE LOGITS
    tons
    0.67
    between
    0.64
     peril
    0.62
     LW
    0.61
     itself
    0.61
     Classes
    0.60
     its
    0.59
    ¶æ
    0.59
    edIn
    0.57
     Muss
    0.57
    Activations Density 0.273%

    No Known Activations