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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. 17575
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    Explanations

    numerical ranges or quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate ranges or estimates in quantities

    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
     linked
    -0.60
    ESE
    -0.58
     trave
    -0.58
     Dynamics
    -0.57
     distur
    -0.57
     Accessed
    -0.56
    idia
    -0.55
     relates
    -0.55
    ife
    -0.54
     devise
    -0.53
    POSITIVE LOGITS
     dozen
    0.93
     half
    0.86
    dozen
    0.84
     450
    0.84
     eighty
    0.84
     400
    0.83
     seventy
    0.82
     800
    0.82
     200
    0.81
     850
    0.80
    Activations Density 0.205%

    No Known Activations