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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. 3-RES-JB
    11. 20786
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    Explanations

    phrases related to removing or eliminating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to eliminating or getting rid of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fallon
    -0.65
    enegger
    -0.64
    anwhile
    -0.64
     Ung
    -0.61
    mpeg
    -0.61
    Ko
    -0.61
    OPER
    -0.61
    Grant
    -0.59
     Correspond
    -0.59
    Sold
    -0.58
    POSITIVE LOGITS
    itaire
    1.05
    anium
    0.97
    ings
    0.91
    ttes
    0.87
    cloth
    0.85
    osaurus
    0.85
    uations
    0.84
    brush
    0.84
    ges
    0.83
    ients
    0.82
    Activations Density 0.011%

    No Known Activations