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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. 3-RES-JB
    11. 15699
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    INDEX
    Explanations

    terms related to data collection methods like interviews and surveys

    oai_token-act-pair · gpt-3.5-turbo

    instances of people being interviewed or surveyed in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flow
    -0.76
    boats
    -0.74
    nings
    -0.74
    edition
    -0.72
    alter
    -0.71
    earned
    -0.71
    BIT
    -0.70
    few
    -0.70
    iola
    -0.69
    hire
    -0.69
    POSITIVE LOGITS
     polled
    0.88
    OHN
    0.86
     interviewed
    0.82
     extensively
    0.78
     citiz
    0.75
    ourgeois
    0.73
     surveyed
    0.73
    ropolis
    0.72
     Eag
    0.71
     withd
    0.69
    Activations Density 0.023%

    No Known Activations