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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. 5517
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    Explanations

    phrases related to broad or far-reaching impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extensive or widespread effects and implications

    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
    usalem
    -0.68
    phies
    -0.65
    rious
    -0.65
     Tycoon
    -0.64
    erick
    -0.62
     Cumm
    -0.62
     Planet
    -0.61
     Bunny
    -0.60
     Rebell
    -0.60
     Cust
    -0.59
    POSITIVE LOGITS
     encomp
    1.07
     scope
    1.06
     applic
    0.98
    reaching
    0.97
     spectrum
    0.86
    soType
    0.85
     implications
    0.83
     encompass
    0.83
    Scope
    0.82
    velength
    0.81
    Activations Density 0.129%

    No Known Activations