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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. 23902
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    Explanations

    phrases related to beliefs and opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating opinion and belief in others

    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
    ãĤ´ãĥ³
    -0.68
    tains
    -0.66
    ovember
    -0.63
    izable
    -0.60
     landmark
    -0.59
    hol
    -0.57
    croft
    -0.57
     finishes
    -0.56
    ãĤ©
    -0.56
     Ambro
    -0.55
    POSITIVE LOGITS
    They
    1.88
    they
    1.79
     They
    1.76
    Their
    1.68
    their
    1.66
     THEY
    1.64
     they
    1.58
     Their
    1.52
     THEIR
    1.46
     their
    1.30
    Activations Density 0.846%

    No Known Activations