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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. 1698
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    Explanations

    references to organizations or entities with the word "Royal" in it

    oai_token-act-pair · gpt-3.5-turbo

    references to "Royal" entities or organizations

    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
    icago
    -0.84
    orer
    -0.83
     Gutenberg
    -0.75
    alach
    -0.69
    é¾į
    -0.69
    ARB
    -0.69
    arers
    -0.68
    LER
    -0.67
    omsky
    -0.67
    ktop
    -0.67
    POSITIVE LOGITS
    ty
    1.01
     Palace
    0.83
     Arabia
    0.79
    ped
    0.76
    ston
    0.76
     Rumble
    0.72
     Guard
    0.71
     Caribbean
    0.71
     jelly
    0.70
     Royal
    0.69
    Activations Density 0.016%

    No Known Activations