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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. 6102
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    Explanations

    phrases signaling a change in topic or perspective

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions that indicate a list or accumulation of thoughts

    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
    ãģĨ
    -0.70
     ABE
    -0.64
    pees
    -0.64
    ses
    -0.64
    sense
    -0.64
    HB
    -0.63
    hoe
    -0.62
    sic
    -0.62
    cloth
    -0.61
    xes
    -0.60
    POSITIVE LOGITS
    romeda
    1.66
    rea
    1.37
    ersen
    1.04
    hra
    1.03
    rew
    0.93
     secondly
    0.91
    uin
    0.90
    rogens
    0.89
    alus
    0.87
    rey
    0.82
    Activations Density 0.056%

    No Known Activations