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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14178
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    Explanations

    video-related keywords and the word "WATCH"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "WATCH" followed by related video content

    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
    ctrl
    -0.84
    ifice
    -0.66
    phi
    -0.65
    ality
    -0.65
    ãĤ¨ãĥ«
    -0.65
     misunderstanding
    -0.65
     reopen
    -0.64
    vet
    -0.63
     retard
    -0.63
    VEN
    -0.63
    POSITIVE LOGITS
     Watching
    1.27
    tower
    1.03
    Watch
    1.01
     Watch
    0.98
    dog
    0.94
     WATCH
    0.90
    watch
    0.90
     Below
    0.86
     Dogs
    0.85
     Trend
    0.81
    Activations Density 0.014%

    No Known Activations