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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. 3-RES-JB
    11. 15876
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    Explanations

    programmatically generated text that doesn't seem to have a coherent theme

    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols that indicate noise or non-standard text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     humming
    -0.78
     subconscious
    -0.77
    agers
    -0.77
     butterflies
    -0.72
    alez
    -0.72
     mosquitoes
    -0.72
    rouse
    -0.72
    urally
    -0.71
    ategory
    -0.71
     mammals
    -0.70
    POSITIVE LOGITS
    ļéĨĴ
    1.22
    ¬
    1.03
    ternity
    0.95
    ¦
    0.91
    âĶĢâĶĢ
    0.87
    nir
    0.86
    é¾įåĸļ士
    0.84
    ¸
    0.84
    ×ķ
    0.83
    âĸł
    0.83
    Activations Density 0.006%

    No Known Activations