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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. 10-RES-JB
    11. 5345
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    Explanations

    text related to academic writing or research activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the importance of understanding and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.67
    roman
    -0.65
     swall
    -0.64
    rod
    -0.63
     "$:/
    -0.61
    ociate
    -0.60
    illac
    -0.59
     Deaths
    -0.58
    %]
    -0.57
    %.
    -0.56
    POSITIVE LOGITS
     advisable
    1.05
     worthwhile
    1.00
     unsur
    0.98
     prudent
    0.97
     fitting
    0.96
     beh
    0.96
     imperative
    0.95
     surprising
    0.91
     wise
    0.90
    ortunate
    0.89
    Activations Density 0.187%

    No Known Activations