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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8255
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    Explanations

    proper nouns that appear to be related to individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names associated with significant historical or cultural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iture
    -0.45
    redients
    -0.45
    owship
    -0.44
    anwhile
    -0.43
    ATIONAL
    -0.43
    auga
    -0.41
     sake
    -0.40
    selves
    -0.40
    iage
    -0.39
     Nadu
    -0.39
    POSITIVE LOGITS
    r
    0.44
    ²
    0.43
    ł
    0.43
    lov
    0.43
    force
    0.43
    ¾
    0.42
    ill
    0.42
    zar
    0.41
    open
    0.41
    ½
    0.40
    Activations Density 0.679%

    No Known Activations