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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. 7-RES-JB
    11. 14406
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osaurus
    -0.76
    otin
    -0.73
     Hunts
    -0.71
    orkshire
    -0.71
     Samar
    -0.67
    eming
    -0.65
     Surv
    -0.65
    etus
    -0.65
     Gree
    -0.64
     Frie
    -0.64
    POSITIVE LOGITS
    ãħĭ
    0.80
     [+
    0.76
    =~=~
    0.68
    Ļ½
    0.68
    ------------
    0.67
    ã
    0.67
    ł
    0.66
    ãħĭãħĭ
    0.66
    ª
    0.64
    ---------------
    0.62
    Activations Density 0.023%

    No Known Activations