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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. 3931
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    Explanations

    words related to technical or industrial settings, such as "supply", "distribution", and "equipment"

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to supply and distribution

    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
     Kills
    -0.78
     Annotations
    -0.70
     Runner
    -0.69
     Manager
    -0.66
     Factor
    -0.63
     Hollow
    -0.62
     Warriors
    -0.62
     Line
    -0.62
     Britann
    -0.61
     Madness
    -0.60
    POSITIVE LOGITS
    acters
    1.17
    ruction
    1.14
    tenance
    1.11
    perature
    1.11
    utive
    1.08
    ipment
    0.97
    istance
    0.95
    yright
    0.94
    itive
    0.92
    terday
    0.92
    Activations Density 0.138%

    No Known Activations