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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. 6-RES-JB
    11. 24527
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    INDEX
    Explanations

    numeric values or ranges present in the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical changes in proportion or percentage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.75
    »Ĵ
    -0.74
    "))
    -0.69
    PASS
    -0.64
     nonetheless
    -0.62
     sclerosis
    -0.62
    edi
    -0.61
    Lens
    -0.61
    nesota
    -0.61
    etsk
    -0.61
    POSITIVE LOGITS
     standpoint
    1.08
     onwards
    0.88
     inception
    0.80
     beginnings
    0.73
     perspective
    0.73
     onward
    0.68
     confines
    0.67
     vantage
    0.67
     Awakens
    0.67
     outset
    0.66
    Activations Density 0.325%

    No Known Activations