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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. 7-RES-JB
    11. 3165
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    Explanations

    phrases related to challenges or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the generation or presentation of challenges, questions, or opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sche
    -0.62
     ASAP
    -0.58
     prow
    -0.57
     mull
    -0.57
    bid
    -0.56
     Goff
    -0.56
     playbook
    -0.56
     todd
    -0.55
     Perl
    -0.55
     Ital
    -0.55
    POSITIVE LOGITS
     havoc
    1.11
     tremend
    0.85
    quickShipAvailable
    0.84
     headaches
    0.83
    emi
    0.82
     risks
    0.81
     opportunities
    0.79
     tremendous
    0.77
    luence
    0.76
     unwelcome
    0.76
    Activations Density 0.216%

    No Known Activations