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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. 2-RES-JB
    11. 22063
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    Explanations

    references to items of value or importance in a collection

    oai_token-act-pair · gpt-3.5-turbo

    words related to collectors and collecting items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mia
    -0.69
    lihood
    -0.66
    ned
    -0.66
    ellen
    -0.62
    forth
    -0.60
     Dign
    -0.60
    ¶
    -0.58
    stage
    -0.57
    pher
    -0.57
    nesses
    -0.57
    POSITIVE LOGITS
     collectors
    1.19
     collector
    1.19
    sonian
    1.16
    collect
    1.06
    govtrack
    0.88
     collects
    0.88
     collecting
    0.85
    Artist
    0.83
    ãĤ©
    0.82
     recy
    0.81
    Activations Density 0.015%

    No Known Activations