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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. 2-RES-JB
    11. 11196
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    Explanations

    specifically named entities or things in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "namely" and "viz," indicating specific examples or elaborations in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.74
    tein
    -0.68
     Oaks
    -0.67
    heit
    -0.67
     Bagg
    -0.66
    eer
    -0.66
     Breed
    -0.64
     Hunt
    -0.64
    Streamer
    -0.64
    EEE
    -0.64
    POSITIVE LOGITS
     namely
    0.90
     consists
    0.78
    çĶ°
    0.74
     consisting
    0.72
    ional
    0.71
     resides
    0.69
    xual
    0.69
     comprised
    0.68
     belongs
    0.68
    ngth
    0.68
    Activations Density 0.004%

    No Known Activations