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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. 7-RES-JB
    11. 10882
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    INDEX
    Explanations

    named entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant abstract concepts emphasized through repetition or high intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manoeuv
    -0.71
     endeav
    -0.70
     Reincarnated
    -0.66
     estranged
    -0.65
     tink
    -0.65
     grouping
    -0.62
     inactive
    -0.62
     overth
    -0.62
     unin
    -0.62
     precaution
    -0.61
    POSITIVE LOGITS
    ³³³³
    1.09
    ³³³³³³³³
    0.99
    posted
    0.99
    ³³³³³³³³³³³³³³³³
    0.97
    ³³³
    0.92
    ³³
    0.89
    nai
    0.84
    Oracle
    0.83
    Therefore
    0.81
    ccording
    0.80
    Activations Density 0.133%

    No Known Activations