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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. 12490
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    Explanations

    references to controversial or polarizing topics and discussions

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures and events

    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
     Participants
    -0.70
    tains
    -0.69
    contact
    -0.67
    ORPG
    -0.66
    Explore
    -0.65
     Towards
    -0.65
     behaviours
    -0.65
    Additional
    -0.63
    Students
    -0.62
    "}],"
    -0.62
    POSITIVE LOGITS
     goddamn
    1.21
     lousy
    1.12
     damn
    1.09
     godd
    1.04
     crap
    1.03
     damned
    1.02
     fucking
    1.02
     stupid
    1.00
     shitty
    0.99
     pissed
    0.97
    Activations Density 1.284%

    No Known Activations