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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. 8-RES-JB
    11. 8450
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    Explanations

    references to academic publications and scientific journals

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific institutions and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.77
    behind
    -0.75
    matter
    -0.73
    xon
    -0.72
     Nieto
    -0.71
    agascar
    -0.68
     similarity
    -0.66
    claw
    -0.66
     portals
    -0.63
     distance
    -0.62
    POSITIVE LOGITS
     Sciences
    1.12
     Arts
    0.88
     Sending
    0.83
     Pediatrics
    0.80
     Letters
    0.74
    legates
    0.71
    arte
    0.69
     arts
    0.67
     Veterinary
    0.67
     Science
    0.67
    Activations Density 0.083%

    No Known Activations