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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. 4-RES-JB
    11. 1602
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    Explanations

    video titles or descriptions prompting viewers to watch the content urgently

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Replay" indicating repeated video content

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

    No Comments

    Negative Logits
    ult
    -0.82
    pora
    -0.78
    kers
    -0.78
    orpor
    -0.74
    ker
    -0.72
    represented
    -0.71
    ilk
    -0.70
    untarily
    -0.70
    por
    -0.69
     sucker
    -0.69
    POSITIVE LOGITS
     Replay
    0.91
     WATCHED
    0.91
     WATCH
    0.75
     Shooter
    0.74
    icators
    0.72
    icator
    0.71
    acher
    0.69
    querque
    0.69
     Thumbnails
    0.69
     Clock
    0.66
    Activations Density 0.009%

    No Known Activations