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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. 8-RES-JB
    11. 8204
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    INDEX
    Explanations

    phrases starting with "what"

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enger
    -0.59
     congrat
    -0.59
     caveat
    -0.56
     Cong
    -0.55
     admitting
    -0.54
     speedy
    -0.54
     steril
    -0.53
     favor
    -0.53
    END
    -0.53
     largeDownload
    -0.52
    POSITIVE LOGITS
    soever
    1.49
     happens
    1.29
     constitutes
    1.15
     happened
    1.13
     transpired
    0.97
     mattered
    0.94
     else
    0.91
     qualifies
    0.89
     survives
    0.87
     occurs
    0.86
    Activations Density 0.126%

    No Known Activations