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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. 2893
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    prominent names or identifiers, particularly related to people or characters

    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
     Eliot
    -0.75
    ngth
    -0.66
    arine
    -0.65
     Precision
    -0.64
    Shape
    -0.64
    ktop
    -0.64
     Glou
    -0.63
    âĹ¼
    -0.61
    FontSize
    -0.58
    Advertisements
    -0.58
    POSITIVE LOGITS
    ondo
    0.91
    aldi
    0.84
    acco
    0.84
    arez
    0.82
    orio
    0.80
    rosso
    0.79
    iola
    0.79
    acci
    0.78
    á
    0.78
    ito
    0.78
    Activations Density 0.211%

    No Known Activations