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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. 8737
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    Explanations

    terms related to extremist or radical ideologies

    oai_token-act-pair · gpt-3.5-turbo

    references to extreme or radical concepts

    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
     Labrador
    -0.63
     steroids
    -0.62
     sadd
    -0.61
     Ack
    -0.61
     Tec
    -0.60
     GCC
    -0.59
     McCabe
    -0.59
     numbered
    -0.58
    gerald
    -0.58
     strings
    -0.58
    POSITIVE LOGITS
    antle
    1.28
    acy
    1.08
    phasis
    1.06
    arkable
    1.03
    ovable
    1.02
    nant
    1.01
    acists
    1.00
    ixed
    1.00
    lins
    1.00
    ploy
    0.98
    Activations Density 0.013%

    No Known Activations