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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. 1-RES-JB
    11. 13944
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    Explanations

    random characters and potentially technical details or measurements

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters that likely represent specific units or measurements in technical specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.80
    raint
    -0.76
    inctions
    -0.75
    ographs
    -0.70
     delinqu
    -0.68
     Gamb
    -0.64
     Rapp
    -0.63
    olester
    -0.61
    eanor
    -0.59
     Wilmington
    -0.58
    POSITIVE LOGITS
    ĸ
    1.46
    åĤ
    1.06
    Ĺ
    1.02
    ¾
    1.01
    ®
    1.01
    ¶
    1.00
    ħĭ
    0.97
    çķ
    0.93
    ¹
    0.93
    ij
    0.92
    Activations Density 0.003%

    No Known Activations