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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. 8834
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    Explanations

    phrases related to strong opinions or personal beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experience and individual beliefs

    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
    gart
    -0.63
    YN
    -0.59
     Representatives
    -0.59
    RAFT
    -0.59
     majorities
    -0.58
     Metatron
    -0.58
     winners
    -0.57
     Rasmussen
    -0.57
     winner
    -0.57
    sted
    -0.56
    POSITIVE LOGITS
     imaginable
    1.12
    except
    1.04
     except
    1.00
     entails
    0.93
    pires
    0.90
    needed
    0.82
     EVER
    0.80
     ever
    0.80
    Ĥİ
    0.77
    ãĤ¨ãĥ«
    0.77
    Activations Density 0.207%

    No Known Activations