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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. 4-RES-JB
    11. 1337
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
     Planes
    -0.18
     Dialogue
    -0.17
     Sty
    -0.17
     Lodge
    -0.16
     Tours
    -0.16
     Dyn
    -0.16
     Recall
    -0.15
     Pv
    -0.15
     Ye
    -0.15
     Baal
    -0.15
    POSITIVE LOGITS
    ãĤ´ãĥ³
    0.21
    ividual
    0.21
    uable
    0.20
    idth
    0.19
    ãĥ¼ãĥ³
    0.19
     outwe
    0.19
    FTWARE
    0.19
    etta
    0.18
    viation
    0.18
    igible
    0.18
    Activations Density 14.733%

    No Known Activations