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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. 9-RES-JB
    11. 17372
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    Explanations

    phrases related to formal reports or analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and their summaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    east
    -0.69
    conservancy
    -0.64
     actionGroup
    -0.62
     bene
    -0.60
     advent
    -0.60
     idol
    -0.59
     Denis
    -0.58
     Wally
    -0.57
     slack
    -0.56
    gencies
    -0.56
    POSITIVE LOGITS
    velop
    0.94
     titled
    0.93
     detailing
    0.88
     commissioned
    0.87
    orial
    0.86
     compiled
    0.81
     entitled
    0.79
     released
    0.76
    itle
    0.76
     documenting
    0.76
    Activations Density 0.066%

    No Known Activations