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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. 17699
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    Explanations

    people who are speaking or delivering remarks in various settings

    oai_token-act-pair · gpt-3.5-turbo

    instances of individuals or officials speaking at various events and conferences

    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
    =~
    -0.68
     balk
    -0.66
    Fail
    -0.65
     };
    -0.64
     Worse
    -0.62
    Either
    -0.60
     untold
    -0.58
    ©¶æ¥µ
    -0.57
     conflic
    -0.57
    aroo
    -0.56
    POSITIVE LOGITS
     during
    1.13
     onstage
    1.09
    */(
    0.87
     gestures
    0.82
     amid
    0.79
    during
    0.78
     flanked
    0.77
     amidst
    0.76
     aboard
    0.76
     while
    0.74
    Activations Density 0.107%

    No Known Activations