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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. 11-RES-JB
    11. 220
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    Explanations

    single words related to projects or products

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "a" signaling the introduction of various subjects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.81
    APD
    -0.79
    Alien
    -0.75
    Alpha
    -0.71
    daq
    -0.71
    eston
    -0.70
     è£ıè
    -0.68
    amins
    -0.68
    models
    -0.68
    angel
    -0.67
    POSITIVE LOGITS
     versatile
    0.89
     wonderfully
    0.88
     beautifully
    0.87
     delightful
    0.87
     fascinating
    0.86
     multif
    0.85
     lightweight
    0.85
     powerful
    0.84
     sleek
    0.84
     nifty
    0.84
    Activations Density 0.140%

    No Known Activations