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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. 0-RES-JB
    11. 20338
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    Explanations

    words related to preparation

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bugs
    -0.80
    landers
    -0.71
    oo
    -0.67
    angled
    -0.67
    angle
    -0.66
    ereo
    -0.66
    WP
    -0.64
    âľ
    -0.61
    kees
    -0.61
    rams
    -0.61
    POSITIVE LOGITS
     preparation
    3.88
     preparations
    2.75
     Prepar
    2.41
     prepar
    1.99
     preparing
    1.97
     prepare
    1.90
     anticipation
    1.80
     prepared
    1.71
    prep
    1.54
     readiness
    1.51
    Activations Density 0.012%

    No Known Activations