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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 3886
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    Explanations

    specific historical and geographical names

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to people and places

    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
    actionDate
    -0.82
     mechanically
    -0.70
    URES
    -0.68
    FFER
    -0.67
    ationally
    -0.66
    STON
    -0.65
    ifiable
    -0.64
    drivers
    -0.63
    bilt
    -0.63
    IFIED
    -0.63
    POSITIVE LOGITS
     Massacre
    0.92
    phia
    0.87
     Parish
    0.87
     Meditation
    0.86
    angan
    0.84
     Buddha
    0.83
    iki
    0.78
    ppa
    0.78
    utra
    0.77
     Tribe
    0.77
    Activations Density 0.351%

    No Known Activations