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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. 10-RES-JB
    11. 5792
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    Explanations

    mentions of various types of bottles

    oai_token-act-pair · gpt-3.5-turbo

    references to bottles, particularly in relation to beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.86
    IFA
    -0.77
    doms
    -0.76
    urities
    -0.70
    uli
    -0.69
    iated
    -0.68
    tale
    -0.67
    CVE
    -0.66
    otos
    -0.65
     VIDEOS
    -0.64
    POSITIVE LOGITS
     bottle
    1.11
     bottles
    1.09
     opener
    1.00
     refill
    0.94
     Bottle
    0.94
    Bott
    0.91
     Bott
    0.85
     labelled
    0.83
    caps
    0.83
     fermented
    0.82
    Activations Density 0.030%

    No Known Activations