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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. 4-RES-JB
    11. 12015
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    Explanations

    mentions and descriptions of lurking or hidden entities or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hidden or secretive activities

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

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.76
     Pwr
    -0.72
     Luther
    -0.69
     Errors
    -0.68
     Breaker
    -0.67
     FSA
    -0.67
    atibility
    -0.65
    ONES
    -0.65
    ELS
    -0.65
     Dragonbound
    -0.64
    POSITIVE LOGITS
     lur
    0.90
    uten
    0.90
    kers
    0.84
    iously
    0.83
    ormal
    0.81
    der
    0.81
    inate
    0.77
    aces
    0.77
    esse
    0.76
    cher
    0.75
    Activations Density 0.011%

    No Known Activations