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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. 376
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    Explanations

    terms related to controversy or opposition

    oai_token-act-pair · gpt-3.5-turbo

    content related to "contributions" or "contingent" topics

    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
    EStream
    -0.91
    ħĭ
    -0.80
    lihood
    -0.79
    STER
    -0.78
    terday
    -0.77
    OPLE
    -0.75
    UGE
    -0.70
    nown
    -0.69
    ãĤ¬
    -0.67
    manship
    -0.67
    POSITIVE LOGITS
    ributed
    1.26
    ainment
    1.22
    ribution
    1.18
    roversial
    1.17
    ribute
    1.15
    ainers
    1.15
    acts
    1.13
    rast
    1.11
    rovers
    1.09
    ribut
    1.09
    Activations Density 0.022%

    No Known Activations