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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. 2950
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    INDEX
    Explanations

    descriptions of characters or individuals

    oai_token-act-pair · gpt-3.5-turbo

    themes related to love and relationships

    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
    -0.83
     Flavoring
    -0.79
    Flags
    -0.77
     VIDEOS
    -0.75
    20439
    -0.75
    External
    -0.73
    Article
    -0.69
    obin
    -0.68
    Fax
    -0.67
    ItemTracker
    -0.67
    POSITIVE LOGITS
     striving
    0.92
     struggles
    0.90
     underdog
    0.89
     overcoming
    0.88
     journey
    0.87
     reconnect
    0.87
     struggle
    0.84
     aspiring
    0.84
     disillusion
    0.83
     persever
    0.83
    Activations Density 0.478%

    No Known Activations