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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. 11-RES-JB
    11. 4905
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    Explanations

    phrases related to actions or events like releasing, expanding, launching, interviewing, announcing, accepting, and collaborating

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ificial
    -0.69
     defeats
    -0.66
     Lack
    -0.65
    pered
    -0.62
    ancies
    -0.62
    antis
    -0.61
    ocry
    -0.61
    failed
    -0.60
    cair
    -0.60
    cies
    -0.60
    POSITIVE LOGITS
     releasing
    1.23
     unveiling
    1.22
     launching
    1.19
     partnering
    1.13
     announcing
    1.13
     gearing
    1.11
     hosting
    1.10
     celebrating
    1.08
     introducing
    1.06
     bringing
    1.06
    Activations Density 0.182%

    No Known Activations