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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. 9-RES-JB
    11. 2843
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    INDEX
    Explanations

    phrases related to observation or discovery

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating collective experiences or shared observations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opped
    -0.64
    Correction
    -0.63
     Tsukuyomi
    -0.60
    taboola
    -0.60
    geries
    -0.60
    SF
    -0.60
    orph
    -0.59
    NET
    -0.58
     stays
    -0.57
     captcha
    -0.56
    POSITIVE LOGITS
     accustomed
    0.92
     described
    0.88
     alluded
    0.86
     outlined
    0.86
     envisioned
    0.85
     hallmark
    0.84
     endemic
    0.80
     experienced
    0.80
     termed
    0.78
     preached
    0.77
    Activations Density 0.216%

    No Known Activations