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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. 1-RES-JB
    11. 2636
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    Explanations

    mentions of a specific type of grass

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types of grass and associated figures or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.67
     unintended
    -0.67
     bron
    -0.67
     Layer
    -0.62
    pperc
    -0.61
     vill
    -0.60
     stopp
    -0.60
     slee
    -0.59
     une
    -0.59
     altitude
    -0.58
    POSITIVE LOGITS
    roots
    0.87
    oslav
    0.87
    uminati
    0.86
    odox
    0.86
    trap
    0.85
    achev
    0.83
    Reviewer
    0.83
    iasm
    0.83
    tenance
    0.82
    punk
    0.82
    Activations Density 0.039%

    No Known Activations