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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. 7-RES-JB
    11. 2996
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    Explanations

    phrases where something (e.g., a country, a person, a brand) is described as one of the most or the best in a particular category

    oai_token-act-pair · gpt-3.5-turbo

    frequent references to the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iture
    -0.95
    ENCE
    -0.73
    fulness
    -0.69
    lean
    -0.65
    Change
    -0.64
    lement
    -0.64
    nance
    -0.63
    leeve
    -0.62
     thereof
    -0.62
    someone
    -0.61
    POSITIVE LOGITS
     earliest
    1.13
     largest
    1.10
     busiest
    1.07
     oldest
    1.06
     heaviest
    1.05
     strongest
    1.04
     coolest
    1.04
     fastest
    1.04
     hottest
    1.03
     widest
    1.02
    Activations Density 0.082%

    No Known Activations