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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. 776
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    INDEX
    Explanations

    time-related events and actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "watch" and related viewing experiences

    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
    ItemTracker
    -0.83
    afort
    -0.82
    ledged
    -0.70
    ento
    -0.67
    isma
    -0.67
    ãĥį
    -0.66
    ucket
    -0.62
    abase
    -0.61
    acea
    -0.61
    nir
    -0.61
    POSITIVE LOGITS
     unfold
    1.70
     replay
    1.20
     videos
    1.19
     livestream
    1.13
     documentaries
    1.06
     VIDEOS
    1.03
     broadcasts
    1.02
     televised
    1.02
     video
    1.02
     closely
    1.01
    Activations Density 0.180%

    No Known Activations