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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. 6-RES-JB
    11. 7468
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    INDEX
    Explanations

    mentions of advantages, benefits, or positive outcomes

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FP
    -0.74
    bus
    -0.73
    dit
    -0.68
    IPP
    -0.65
    atum
    -0.63
    mint
    -0.62
    ILLE
    -0.61
    rez
    -0.61
    inarily
    -0.60
    Untitled
    -0.60
    POSITIVE LOGITS
     outweigh
    1.24
     outwe
    1.13
     conferred
    0.87
    parency
    0.83
    ensical
    0.83
    benefit
    0.81
    hift
    0.79
     inherent
    0.79
    pring
    0.78
     afforded
    0.78
    Activations Density 0.085%

    No Known Activations