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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. 2071
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    INDEX
    Explanations

    the word "yes" as a strong match

    oai_token-act-pair · gpt-3.5-turbo

    affirmative expressions or confirmations

    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
    rosse
    -0.88
     externalToEVAOnly
    -0.78
    ULAR
    -0.77
     corrid
    -0.74
    inventoryQuantity
    -0.69
    20439
    -0.68
    bage
    -0.67
    ahime
    -0.66
     ILCS
    -0.66
    bed
    -0.66
    POSITIVE LOGITS
    terday
    2.08
    yes
    1.08
    etheless
    0.98
     yes
    0.88
    rontal
    0.81
     sir
    0.81
    hm
    0.80
     Yes
    0.78
    YES
    0.77
    UV
    0.77
    Activations Density 0.005%

    No Known Activations