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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. 16203
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey conclusions or summary statements

    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
    uly
    -0.74
    ikuman
    -0.72
    hei
    -0.70
     vag
    -0.69
     purse
    -0.68
    ling
    -0.67
     metic
    -0.67
     lifes
    -0.66
    ributes
    -0.65
     boarded
    -0.65
    POSITIVE LOGITS
     Flavoring
    1.22
     Accordingly
    1.07
     Whereas
    1.05
     Needless
    1.04
     Conversely
    1.03
     Additionally
    1.03
     Therefore
    1.02
     Alternatively
    1.01
     Moreover
    1.01
     Nevertheless
    1.01
    Activations Density 2.100%

    No Known Activations