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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. 7-RES-JB
    6. 16650
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    Explanations

    phrases related to using or benefiting from something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to overcoming obstacles or challenges

    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
     COURT
    -0.76
    thia
    -0.71
    bernatorial
    -0.66
    abus
    -0.65
    ascript
    -0.63
    aternity
    -0.61
     scrimmage
    -0.61
    alion
    -0.61
    emetery
    -0.60
     surpr
    -0.60
    POSITIVE LOGITS
     adopting
    0.71
     homosexuality
    0.71
     this
    0.68
     notions
    0.68
     these
    0.67
     globalization
    0.66
     owning
    0.65
    phas
    0.64
     aspects
    0.63
     aging
    0.63
    Activations Density 0.613%

    No Known Activations