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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. 8851
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    Explanations

    technical terms related to instructions or specifications

    oai_token-act-pair · gpt-3.5-turbo

    media-related instructions and requirements

    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
    Newsletter
    -0.85
    ORPG
    -0.80
    âĹ¼
    -0.75
     Flavoring
    -0.74
    billion
    -0.71
    iband
    -0.71
    TEXTURE
    -0.71
    million
    -0.68
    rolet
    -0.67
    ŃĶ
    -0.66
    POSITIVE LOGITS
     TBD
    1.06
     TBA
    1.05
     unavailable
    1.04
     expires
    0.99
     included
    0.96
     req
    0.95
     removed
    0.95
     excluded
    0.93
     unknown
    0.93
     omitted
    0.93
    Activations Density 0.459%

    No Known Activations