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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. 0-RES-JB
    11. 2750
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    Explanations

    proper nouns or names of entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being well-known or famous

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bubble
    -0.69
     slides
    -0.69
     feed
    -0.66
     bounce
    -0.66
     replacement
    -0.65
     pill
    -0.64
     boils
    -0.63
     distract
    -0.62
     skim
    -0.61
     shoulder
    -0.61
    POSITIVE LOGITS
    known
    3.55
    Known
    2.06
     known
    1.99
     Known
    1.92
    established
    1.65
    called
    1.52
    seen
    1.50
    famous
    1.48
    documented
    1.45
    named
    1.37
    Activations Density 0.017%

    No Known Activations