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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. 10-RES-JB
    11. 12406
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    Explanations

    proper names, specifically names containing the letter "y" as one of the highest activations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "y"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icably
    -0.73
    ajor
    -0.73
    SPONSORED
    -0.68
    itures
    -0.68
    iture
    -0.65
     Participant
    -0.64
     "$:/
    -0.60
     Examiner
    -0.60
    ities
    -0.60
    ITIES
    -0.60
    POSITIVE LOGITS
    ield
    1.20
    ielding
    1.18
    annis
    0.96
    acht
    0.93
    enne
    0.92
    PE
    0.87
    outh
    0.86
    ank
    0.86
    anka
    0.85
    akov
    0.85
    Activations Density 0.076%

    No Known Activations