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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. 3-RES-JB
    11. 13546
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    Explanations

    mentions of different types of watches and related technology features

    oai_token-act-pair · gpt-3.5-turbo

    references to smartwatches, particularly the Apple Watch

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    «ĺ
    -0.87
    Reviewer
    -0.82
    EngineDebug
    -0.73
    VEN
    -0.71
    pmwiki
    -0.69
     lil
    -0.68
    interstitial
    -0.68
    staking
    -0.67
    bern
    -0.66
    taboola
    -0.65
    POSITIVE LOGITS
    tower
    1.13
    dogs
    1.07
     watches
    1.02
    dog
    1.01
    watch
    0.99
     Watch
    0.94
    maker
    0.89
     watch
    0.87
     Watching
    0.83
    strap
    0.82
    Activations Density 0.021%

    No Known Activations