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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. 4-RES-JB
    11. 11303
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    INDEX
    Explanations

    ranges of years or time spans

    oai_token-act-pair · gpt-3.5-turbo

    negative numerical information or values in historical contexts

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

    No Comments

    Negative Logits
     Dickinson
    -0.79
     Frost
    -0.78
     wedd
    -0.75
     Aval
    -0.63
     Instrument
    -0.63
     Sparrow
    -0.62
     antiv
    -0.62
     fir
    -0.60
     Cassidy
    -0.60
     Sik
    -0.60
    POSITIVE LOGITS
    based
    1.16
    sized
    1.07
    themed
    1.04
    sama
    0.99
    ranked
    0.99
    related
    0.98
    derived
    0.97
    level
    0.97
    quartered
    0.96
    plus
    0.94
    Activations Density 0.154%

    No Known Activations