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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. 7780
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    Explanations

    religious or spiritual references, including biblical and historical figures

    oai_token-act-pair · gpt-3.5-turbo

    ratings or evaluations of various movies or shows

    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
    hement
    -0.76
     waivers
    -0.65
     grid
    -0.64
     scrap
    -0.64
     experien
    -0.64
    xual
    -0.64
     footing
    -0.63
     influence
    -0.63
     Nano
    -0.61
     brid
    -0.58
    POSITIVE LOGITS
    è¦ļéĨĴ
    0.84
    ³³³
    0.81
    Premium
    0.78
    ë
    0.75
    ê
    0.74
    ³³³³³³³³
    0.74
    ?????-?????-
    0.74
    ³³³³³³³³³³³³³³³³
    0.73
    OVA
    0.73
    ì
    0.73
    Activations Density 0.161%

    No Known Activations