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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. 8-RES-JB
    6. 5335
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    Explanations

    phrases or words related to showing or listing content, information, or items

    oai_token-act-pair · gpt-3.5-turbo

    references to visual representations or images

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateurs
    -0.76
    ingham
    -0.74
    cession
    -0.64
    riots
    -0.61
    rell
    -0.59
    omers
    -0.59
    reciation
    -0.58
    ateur
    -0.58
    assing
    -0.58
     Clicker
    -0.58
    POSITIVE LOGITS
     herein
    1.08
     therein
    0.94
     above
    0.94
     below
    0.93
     separately
    0.92
     prominently
    0.91
     here
    0.87
     hereafter
    0.80
     elsewhere
    0.79
     onstage
    0.77
    Activations Density 0.164%

    No Known Activations