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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. 11-RES-JB
    11. 1525
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    Explanations

    terms related to units of measurement, especially 'kilogram' and 'kilowatt'

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of kilowatts or kilowatt-hours

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACE
    -0.68
     CoC
    -0.65
     fault
    -0.63
    ANCE
    -0.63
     Channel
    -0.61
     Fargo
    -0.60
     ACS
    -0.59
     accommodation
    -0.58
    ORTS
    -0.57
     accommodations
    -0.56
    POSITIVE LOGITS
    ogram
    1.49
    oby
    1.37
    ograms
    1.31
    ometer
    1.31
    oton
    1.30
    ometers
    1.25
    ographed
    1.17
    ograph
    1.17
    omet
    1.12
    ocal
    1.11
    Activations Density 0.030%

    No Known Activations