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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. 0-RES-JB
    11. 18072
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    Explanations

    words with 'tracker' or 'trigger' with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "tr" or words containing that substring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.68
     Moose
    -0.66
     restitution
    -0.66
     bats
    -0.66
     bat
    -0.65
     Aman
    -0.62
     constitu
    -0.61
     Lange
    -0.61
     Kot
    -0.60
     consec
    -0.59
    POSITIVE LOGITS
    tr
    4.21
    Tr
    2.08
    TR
    1.63
     Tr
    1.60
    tracking
    1.59
    track
    1.53
    tracks
    1.53
    trace
    1.53
    tra
    1.50
    trade
    1.47
    Activations Density 0.006%

    No Known Activations