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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. 10-RES-JB
    11. 21749
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    INDEX
    Explanations

    phrases related to future plans or actions

    oai_token-act-pair · gpt-3.5-turbo

    positive statements about plans and possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "))
    -0.59
    rador
    -0.56
    pired
    -0.56
    ewitness
    -0.54
    guyen
    -0.51
    resent
    -0.50
     REPORT
    -0.49
     Represent
    -0.48
    pires
    -0.48
    Ħ¢
    -0.47
    POSITIVE LOGITS
    ;
    1.11
     though
    1.09
    ,[
    0.97
    !,
    0.93
    .;
    0.90
     because
    0.89
    ,
    0.89
    +,
    0.86
     but
    0.85
    %,
    0.84
    Activations Density 1.782%

    No Known Activations