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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. 8-RES-JB
    11. 17132
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    Explanations

    keywords related to minimalism

    oai_token-act-pair · gpt-3.5-turbo

    references to minimalism and minimal impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVERS
    -0.77
    lyn
    -0.66
    ravings
    -0.66
    shape
    -0.65
    arching
    -0.62
    hov
    -0.61
     Aval
    -0.61
    director
    -0.60
    MODE
    -0.60
     Indra
    -0.60
    POSITIVE LOGITS
    istic
    1.12
    istically
    1.01
    aneous
    1.00
     (<
    0.98
    ised
    0.96
     amount
    0.88
     inconven
    0.88
    ally
    0.87
     amounts
    0.86
    itized
    0.86
    Activations Density 0.059%

    No Known Activations