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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. 9-RES-JB
    11. 6964
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    Explanations

    dates and years

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.75
    Ì
    -0.68
    ressive
    -0.68
    icio
    -0.68
    autions
    -0.67
    olutions
    -0.66
     Anxiety
    -0.66
    tarians
    -0.65
    addons
    -0.65
    feel
    -0.65
    POSITIVE LOGITS
     circulated
    1.26
     smuggled
    1.25
     deposited
    1.23
     confiscated
    1.22
     transmitted
    1.17
     mailed
    1.15
     stored
    1.14
     scanned
    1.14
     collected
    1.12
     exchanged
    1.12
    Activations Density 0.340%

    No Known Activations