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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. 22358
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    Explanations

    specific and detailed information or attributes

    oai_token-act-pair · gpt-3.5-turbo

    references to specificity and distinct characteristics

    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
     vain
    -0.73
     Dou
    -0.70
     Bahamas
    -0.68
     Cah
    -0.64
     BM
    -0.63
     Tycoon
    -0.63
     Canal
    -0.63
    illions
    -0.63
     Brothers
    -0.62
     kidneys
    -0.62
    POSITIVE LOGITS
    Ore
    0.91
    ":["
    0.80
     thresholds
    0.78
     preferences
    0.75
     characteristics
    0.71
     specificity
    0.70
    umeric
    0.70
     guiActiveUnfocused
    0.69
    efined
    0.68
    £ı
    0.68
    Activations Density 0.161%

    No Known Activations