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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. 22121
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    Explanations

    phrases related to specific requirements or options, such as "required," "requirement," "within," "gallery," "placement," or "cognitive disability."

    oai_token-act-pair · gpt-3.5-turbo

    conjunctive or conditional phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    tackle
    -0.67
    vu
    -0.59
     behavi
    -0.56
     trave
    -0.55
    awaru
    -0.55
    eva
    -0.54
    hari
    -0.54
    ¶
    -0.53
     neighb
    -0.52
    reb
    -0.52
    POSITIVE LOGITS
     "
    1.63
     "'
    1.55
     "-
    1.48
     "<
    1.41
     "\
    1.39
     "_
    1.39
     "/
    1.35
     "[
    1.35
     "+
    1.35
     "(
    1.33
    Activations Density 0.178%

    No Known Activations