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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10910
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    Explanations

    references to large quantities or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "thousands" as an indicator of large groups of people or significant numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.67
     Redemption
    -0.66
     hegemony
    -0.66
     symmetry
    -0.66
    agate
    -0.63
    iban
    -0.62
     Sense
    -0.61
    agame
    -0.61
    mentioned
    -0.61
    shit
    -0.61
    POSITIVE LOGITS
     ILCS
    0.83
     kilometers
    0.83
     thousands
    0.83
     miles
    0.82
    ourcing
    0.80
     kilometres
    0.79
     hectares
    0.78
    ourced
    0.77
     pounds
    0.74
     lashes
    0.73
    Activations Density 0.025%

    No Known Activations