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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. 1-RES-JB
    11. 18812
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    Explanations

    mentions of the name "Cher" with varying levels of activation, potentially indicating a focus on specific entities or persons in text

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Cher" or related figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORN
    -0.76
    RAW
    -0.70
    eln
    -0.68
    PF
    -0.66
     hem
    -0.64
     handc
    -0.62
    Georg
    -0.61
     obese
    -0.58
    Loading
    -0.58
     Gutenberg
    -0.58
    POSITIVE LOGITS
    vier
    0.93
     Cher
    0.90
    bourg
    0.90
    theless
    0.86
    itism
    0.84
    rill
    0.83
    itage
    0.81
    ites
    0.80
     cher
    0.80
    ite
    0.78
    Activations Density 0.007%

    No Known Activations