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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. 9-RES-JB
    6. 12736
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    Explanations

    reserved words in a coding context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification and specifications in a structured context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hots
    -0.79
    Commercial
    -0.75
    Indust
    -0.74
    hun
    -0.72
    greg
    -0.72
    recent
    -0.71
    ooters
    -0.70
     acron
    -0.70
    ä¿
    -0.69
    certain
    -0.69
    POSITIVE LOGITS
     portion
    1.41
     counterpart
    1.21
     version
    1.19
     side
    1.16
     axis
    1.10
     phase
    1.08
     allele
    1.05
     element
    1.03
     aspect
    1.02
     ones
    1.01
    Activations Density 0.275%

    No Known Activations