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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. 0-RES-JB
    11. 560
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    Explanations

    references to historical events or figures

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to historical events and contexts, as well as instances of inappropriate behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vine
    -0.67
    auld
    -0.66
    oun
    -0.65
    MIT
    -0.64
     volley
    -0.63
     Ll
    -0.62
     NX
    -0.61
     Isle
    -0.61
     rooftop
    -0.61
     panels
    -0.60
    POSITIVE LOGITS
    hist
    3.87
    historic
    1.98
    history
    1.65
     Beauty
    1.00
    zinski
    0.93
    hair
    0.91
    atro
    0.89
     grop
    0.87
    acist
    0.85
    ichen
    0.79
    Activations Density 0.053%

    No Known Activations