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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. 9-RES-JB
    11. 8928
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    Explanations

    words related to specific attributes, characteristics, or actions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to official credentials, responsibilities, and documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -1.02
    ados
    -0.68
    terday
    -0.68
    regate
    -0.67
    phia
    -0.64
    idine
    -0.62
    sama
    -0.61
    ida
    -0.60
    Camp
    -0.59
    ennett
    -0.59
    POSITIVE LOGITS
     intact
    1.00
     undone
    0.96
     validated
    0.93
     reversed
    0.90
     silenced
    0.88
     erased
    0.84
     blown
    0.83
     sorted
    0.82
     checked
    0.82
     revoked
    0.82
    Activations Density 0.339%

    No Known Activations