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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. 6-RES-JB
    11. 7216
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    Explanations

    solicitations to prove human identity against automated actions

    oai_token-act-pair · gpt-3.5-turbo

    specific structural elements in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phia
    -0.67
     Greenwich
    -0.67
    aterasu
    -0.66
    urga
    -0.65
    agara
    -0.65
    nah
    -0.63
    ahime
    -0.63
    ients
    -0.62
    coni
    -0.62
    chenko
    -0.62
    POSITIVE LOGITS
    pload
    0.84
     brim
    0.78
    odder
    0.77
     shelves
    0.73
     Crate
    0.72
     Folder
    0.72
     wagon
    0.70
     sleeves
    0.70
     diameter
    0.68
     lid
    0.68
    Activations Density 0.790%

    No Known Activations