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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 2600
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    Explanations

    phrases related to transportation and movement of resources

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or structures related to the movement of resources or materials

    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
    OA
    -0.69
    lace
    -0.69
    wo
    -0.69
    ilde
    -0.68
    oan
    -0.68
    history
    -0.68
    ploma
    -0.68
    è¦ļéĨĴ
    -0.68
    early
    -0.67
     Emblem
    -0.66
    POSITIVE LOGITS
     bloodstream
    1.22
     wearer
    1.08
     periphery
    1.07
     atmosphere
    1.06
     nearest
    1.02
     marketplace
    0.97
     grid
    0.95
     environment
    0.95
     ground
    0.95
     purchaser
    0.94
    Activations Density 0.256%

    No Known Activations