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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. 9-RES-JB
    6. 8125
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    Explanations

    phrases related to the cessation of habitual actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortment
    -0.66
    maximum
    -0.66
    odan
    -0.61
    romy
    -0.57
     bounty
    -0.57
     Horus
    -0.56
    gged
    -0.55
    pta
    -0.55
    xtap
    -0.54
    eer
    -0.54
    POSITIVE LOGITS
     than
    0.92
    nces
    0.80
    ONSORED
    0.79
     ;)
    0.78
    adays
    0.77
    !!!!!
    0.76
    !!!
    0.75
     :(
    0.74
     :-)
    0.73
    iatus
    0.73
    Activations Density 0.021%

    No Known Activations