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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. 10-RES-JB
    6. 16855
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    Explanations

    phrases related to the usage or manipulation of resources or information

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to the concept of "use" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Stud
    -0.65
    llah
    -0.64
    ¯¯¯¯
    -0.64
    watching
    -0.64
    cade
    -0.63
    aintain
    -0.63
    Enlarge
    -0.62
    cellence
    -0.62
    pleted
    -0.62
    rb
    -0.61
    POSITIVE LOGITS
    fully
    1.03
     coercion
    0.99
     phrases
    0.97
     eminent
    0.91
     leverage
    0.91
     intimidation
    0.90
     caution
    0.89
     metaphors
    0.88
     discretion
    0.88
     coercive
    0.88
    Activations Density 0.131%

    No Known Activations