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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. 9-RES-JB
    11. 16517
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    Explanations

    phrases related to discussing or presenting information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express challenges and their potential impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     needing
    -0.59
     guiActiveUnfocused
    -0.55
     hereby
    -0.54
     detrim
    -0.53
     hates
    -0.52
    runners
    -0.52
     owes
    -0.51
     ALWAYS
    -0.51
     wanting
    -0.51
     tasked
    -0.50
    POSITIVE LOGITS
    emb
    0.59
    article
    0.54
    natureconservancy
    0.53
    paragraph
    0.52
    raphics
    0.51
    æŃ
    0.49
     broch
    0.49
    amph
    0.49
    ypes
    0.49
    ymph
    0.48
    Activations Density 1.290%

    No Known Activations