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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. 16725
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    Explanations

    references to scientific publications

    oai_token-act-pair · gpt-3.5-turbo

    references to academic entities or organizations

    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
    behind
    -0.81
    matter
    -0.78
    agascar
    -0.70
    xon
    -0.69
    forth
    -0.68
     nexus
    -0.67
    lessness
    -0.65
    ahan
    -0.65
    claw
    -0.64
    berman
    -0.62
    POSITIVE LOGITS
     Sciences
    1.16
     Arts
    0.98
     Letters
    0.84
     Sending
    0.78
     Pediatrics
    0.78
     Science
    0.77
     Veterinary
    0.75
    ortunately
    0.74
    ols
    0.73
     Excellence
    0.72
    Activations Density 0.078%

    No Known Activations