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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. 3-RES-JB
    11. 8330
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    Explanations

    occurrences of the word "Pent" followed by either "9" or "10"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Pent" related to various contexts and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.76
    é¾įåĸļ士
    -0.75
    ãģĦ
    -0.72
    anwhile
    -0.71
     lett
    -0.68
    inventoryQuantity
    -0.66
     volume
    -0.65
     hearts
    -0.63
     cocktail
    -0.63
    ãĥīãĥ©ãĤ´ãĥ³
    -0.62
    POSITIVE LOGITS
    inav
    0.91
    archs
    0.84
    inka
    0.82
     Pent
    0.82
    orius
    0.82
    rika
    0.81
    bys
    0.79
    rop
    0.77
    sch
    0.76
    acle
    0.76
    Activations Density 0.008%

    No Known Activations