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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. 7-RES-JB
    11. 13864
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    INDEX
    Explanations

    languages spoken or physical actions taking place

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with performance or communication activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    render
    -0.68
    istries
    -0.63
    OME
    -0.62
     Runner
    -0.55
    riot
    -0.54
     toughness
    -0.54
    stat
    -0.54
    assi
    -0.54
     tack
    -0.54
    ĪĴ
    -0.54
    POSITIVE LOGITS
     concurrently
    1.03
     indoors
    0.86
     consecut
    0.85
     domestically
    0.83
     outdoors
    0.80
     by
    0.79
     abroad
    0.78
     jointly
    0.78
    monton
    0.77
     exclusively
    0.77
    Activations Density 0.308%

    No Known Activations