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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. 22667
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    INDEX
    Explanations

    terms related to positive outcomes or advantages

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of benefits in various contexts

    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
    FP
    -0.67
    BG
    -0.65
    bus
    -0.63
    itled
    -0.62
     delinquent
    -0.62
    ini
    -0.62
    ticket
    -0.62
    lio
    -0.61
     Registration
    -0.60
     foreclosure
    -0.60
    POSITIVE LOGITS
     outweigh
    1.27
     outwe
    1.24
     conferred
    0.95
    fulness
    0.84
     afforded
    0.84
    iency
    0.83
     synerg
    0.83
    benefit
    0.82
     Flavoring
    0.82
    itives
    0.79
    Activations Density 0.105%

    No Known Activations