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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. 2-RES-JB
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    Explanations

    phrases related to numerical estimates and statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to estimates and numerical projections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    woods
    -0.85
    feeding
    -0.82
    NetMessage
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    Interstitial
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    wood
    -0.70
    spr
    -0.69
    vous
    -0.68
    taboola
    -0.68
    nen
    -0.67
    nic
    -0.67
    POSITIVE LOGITS
     estimates
    1.23
     estimate
    1.21
    imates
    1.02
    imate
    0.95
     estimated
    0.95
     estimating
    0.94
     Estimates
    0.91
     estimation
    0.86
     estim
    0.82
    imating
    0.81
    Activations Density 0.016%

    No Known Activations