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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. 12-RES-JB
    11. 3336
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    INDEX
    Explanations

    quick actions or events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to speed or quickness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icable
    -0.81
    ajor
    -0.70
    orative
    -0.67
     âĪ¼
    -0.64
     NG
    -0.61
    utive
    -0.60
    manent
    -0.60
     accompanied
    -0.60
    orate
    -0.59
     contributed
    -0.59
    POSITIVE LOGITS
     Facts
    1.01
     Words
    0.99
    ly
    0.98
     Thoughts
    0.97
     Enough
    0.89
     Skies
    0.89
     Stories
    0.87
    Shot
    0.83
     Dreams
    0.82
     Hits
    0.82
    Activations Density 0.179%

    No Known Activations