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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. 2-RES-JB
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    Explanations

    terms related to the concept of "scope."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "scope"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ston
    -0.74
    Redd
    -0.67
    die
    -0.67
     Valentine
    -0.65
    Indust
    -0.65
    Mart
    -0.64
    joining
    -0.63
     Glac
    -0.63
    Pear
    -0.63
    Lie
    -0.62
    POSITIVE LOGITS
     scope
    1.20
     Scope
    1.06
    illary
    0.85
    ategory
    0.83
    mares
    0.79
    scope
    0.77
    Scope
    0.77
    yz
    0.75
    utterstock
    0.75
    oshenko
    0.74
    Activations Density 0.008%

    No Known Activations