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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. 8-RES-JB
    11. 785
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    Explanations

    Roman numerals in sequence

    oai_token-act-pair · gpt-3.5-turbo

    references to Roman numerals and other numerical designations related to events or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    keeping
    -0.89
    kson
    -0.89
    keepers
    -0.82
     behavi
    -0.76
    keeper
    -0.70
    flies
    -0.69
    Downloadha
    -0.67
    chard
    -0.66
    âĸ¬
    -0.66
    ================================================================
    -0.65
    POSITIVE LOGITS
    VII
    1.42
    III
    1.29
    VI
    1.12
    II
    1.10
    IX
    1.04
    avier
    1.01
    IV
    0.97
    cellent
    0.86
    cellence
    0.85
    XL
    0.80
    Activations Density 0.072%

    No Known Activations