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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5336
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    Explanations

    terms related to instructions or technical details

    oai_token-act-pair · gpt-3.5-turbo

    words related to measurements and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Brist
    -0.50
     Judd
    -0.50
    Inv
    -0.50
     Zac
    -0.47
     Fraz
    -0.45
     Hug
    -0.45
     Volunte
    -0.44
    gew
    -0.43
    ĵĺ
    -0.43
    ————————
    -0.43
    POSITIVE LOGITS
    utenberg
    0.50
    livious
    0.49
    endif
    0.48
     derog
    0.47
    osuke
    0.46
    yang
    0.45
    zon
    0.45
    lings
    0.44
    ongyang
    0.44
    ples
    0.44
    Activations Density 1.256%

    No Known Activations