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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. 1-RES-JB
    11. 5015
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    INDEX
    Explanations

    adjectives related to quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    the concept of sufficiency or adequacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tar
    -0.73
    amon
    -0.71
    sis
    -0.68
    minist
    -0.66
    cul
    -0.66
    sin
    -0.65
    mast
    -0.65
    analysis
    -0.65
    destruct
    -0.65
     quo
    -0.63
    POSITIVE LOGITS
    inventoryQuantity
    0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.77
    osponsors
    0.76
    azaki
    0.70
     ILCS
    0.68
    ashtra
    0.68
     dstg
    0.67
    natureconservancy
    0.67
     absor
    0.66
    GoldMagikarp
    0.66
    Activations Density 0.026%

    No Known Activations