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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. 4100
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    INDEX
    Explanations

    mentions of uncertainty or doubt in text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal reflection and self-awareness

    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
    utic
    -0.75
     ens
    -0.68
    iable
    -0.66
    ibles
    -0.64
     respectively
    -0.64
     exterior
    -0.63
     aboard
    -0.61
    uties
    -0.60
    vable
    -0.60
    ievers
    -0.60
    POSITIVE LOGITS
     myself
    0.86
     my
    0.74
    soType
    0.72
     I
    0.68
     Didn
    0.68
     Pastebin
    0.68
     Thought
    0.67
     haha
    0.67
     congr
    0.65
     emailed
    0.64
    Activations Density 0.637%

    No Known Activations