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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. 16650
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    Explanations

    verbs related to the process of releasing or launching something

    oai_token-act-pair · gpt-3.5-turbo

    actions and events related to the release or progression of media and rules

    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
     millenn
    -0.90
     advoc
    -0.66
    guyen
    -0.62
     opio
    -0.61
     shortcuts
    -0.59
    paralle
    -0.57
    ibur
    -0.57
     streng
    -0.56
     horm
    -0.54
     hurry
    -0.53
    POSITIVE LOGITS
    .[
    0.99
    .
    0.95
    .;
    0.90
    .","
    0.89
    .:
    0.87
    ;
    0.84
     ().
    0.84
    !.
    0.84
    .$
    0.81
    .*
    0.79
    Activations Density 0.302%

    No Known Activations