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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. 7-RES-JB
    11. 19015
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    Explanations

    specific instructions or steps related to technical tasks or projects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to interacting with applications or software functionalities

    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
    ).[
    -0.65
    .''.
    -0.57
    culosis
    -0.57
    qqa
    -0.57
    idae
    -0.55
    ."[
    -0.52
    abwe
    -0.52
    iferation
    -0.51
    utz
    -0.50
    ovo
    -0.50
    POSITIVE LOGITS
     folder
    0.68
     random
    0.66
     darkened
    0.61
     browse
    0.59
     keyboard
    0.58
     webcam
    0.58
     dusty
    0.56
     folders
    0.55
     empty
    0.55
     surroundings
    0.55
    Activations Density 0.808%

    No Known Activations