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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. 10-RES-JB
    11. 791
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    Explanations

    terms related to size or quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to "volume" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artisan
    -0.78
    lez
    -0.73
    generic
    -0.70
    stal
    -0.69
    thus
    -0.68
    roit
    -0.67
    sight
    -0.67
     Pearce
    -0.67
    icial
    -0.66
    nell
    -0.66
    POSITIVE LOGITS
    umes
    0.96
     discounts
    0.83
     volumes
    0.81
     knob
    0.80
    iless
    0.73
     quantities
    0.73
    ONSORED
    0.69
     volume
    0.68
    Cass
    0.67
    itatively
    0.67
    Activations Density 0.024%

    No Known Activations