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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 12849
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    Explanations

    the word "watch" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "watch" in various forms, indicating a focus on observing or viewing events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.84
    esan
    -0.84
    enture
    -0.75
    ãĥ´
    -0.71
    wealth
    -0.70
    ctrl
    -0.70
     congr
    -0.68
     lettuce
    -0.66
    inia
    -0.63
    bole
    -0.61
    POSITIVE LOGITS
    dogs
    1.11
     Watching
    1.10
    tower
    1.06
    dog
    1.05
     watching
    0.90
     tv
    0.84
     helpless
    0.84
    watching
    0.84
     passively
    0.79
     replay
    0.78
    Activations Density 0.042%

    No Known Activations