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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. 4-RES-JB
    11. 15702
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    Explanations

    mention of specific forms or types of things

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms or formats of information or services

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

    No Comments

    Negative Logits
    bley
    -0.70
    EStreamFrame
    -0.69
     sear
    -0.67
    ILLE
    -0.66
     Motorsport
    -0.66
     Hots
    -0.65
    Streamer
    -0.63
     Predators
    -0.63
     eyebrows
    -0.61
     VIDEOS
    -0.61
    POSITIVE LOGITS
    aldehyde
    1.35
    fitting
    1.03
    ative
    1.01
    ulating
    0.92
    idable
    0.88
    ulator
    0.85
    forms
    0.83
    ÑĮ
    0.81
     form
    0.81
    acion
    0.81
    Activations Density 0.009%

    No Known Activations