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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16915
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    Explanations

    descriptions of technical specifications or performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    technical details related to computing resources and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ally
    -0.80
     undercover
    -0.73
     Holden
    -0.73
    Male
    -0.71
    neau
    -0.70
    ¨
    -0.70
     Consent
    -0.67
    perty
    -0.67
     grounding
    -0.67
     Stanley
    -0.67
    POSITIVE LOGITS
     cached
    1.55
     caching
    1.49
     CPU
    1.48
     bandwidth
    1.47
     cache
    1.45
     latency
    1.44
     throughput
    1.44
     cpu
    1.44
     caches
    1.42
    cache
    1.32
    Activations Density 0.460%

    No Known Activations