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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. 11-RES-JB
    11. 11352
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    Explanations

    phrases related to instructions or steps to be followed

    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     divisions
    -0.85
    phas
    -0.81
     expansions
    -0.81
     fragmentation
    -0.80
     broadly
    -0.79
     attrition
    -0.78
     reductions
    -0.76
     disag
    -0.76
     marginal
    -0.75
     transact
    -0.75
    POSITIVE LOGITS
    Redditor
    1.23
     TMZ
    1.22
    PHOTOS
    1.13
    VIDEO
    1.09
     adorable
    1.07
    Luckily
    1.04
     Turns
    1.01
     pics
    1.00
     photographer
    0.99
    ðŁĺ
    0.97
    Activations Density 0.790%

    No Known Activations