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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. 7-RES-JB
    11. 21667
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    Explanations

    places where more information can be obtained

    oai_token-act-pair · gpt-3.5-turbo

    references to sources of additional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aud
    -0.73
    inventoryQuantity
    -0.66
     eaves
    -0.64
    meter
    -0.61
    floor
    -0.60
    kus
    -0.59
    gm
    -0.59
    dust
    -0.58
    Cro
    -0.57
     noses
    -0.56
    POSITIVE LOGITS
     regarding
    0.85
    natureconservancy
    0.80
     REG
    0.78
    ":["
    0.77
    ---------
    0.72
     about
    0.72
    utory
    0.71
    ittal
    0.70
     ABOUT
    0.70
    >>\
    0.69
    Activations Density 0.069%

    No Known Activations