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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. 6-RES-JB
    11. 20431
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    Explanations

    proper names related to individuals, potentially as part of contact information

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of people associated with notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.86
     exha
    -0.81
    isting
    -0.72
    pmwiki
    -0.72
    amily
    -0.70
    thora
    -0.69
    onse
    -0.68
    \/\/
    -0.68
     murd
    -0.67
    amaz
    -0.67
    POSITIVE LOGITS
    ovo
    0.92
    ception
    0.89
    vironment
    0.88
    heimer
    0.86
    vier
    0.85
    unci
    0.85
    fold
    0.84
    clave
    0.81
    omination
    0.80
    ned
    0.78
    Activations Density 0.046%

    No Known Activations