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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. 3-RES-JB
    11. 20450
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    Explanations

    names, specifically the name "Jerome"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jerome" or names closely related to it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģª
    -0.73
    fred
    -0.72
    UAL
    -0.72
    isters
    -0.72
    lucent
    -0.71
    fare
    -0.70
    ongs
    -0.70
    holders
    -0.70
    weights
    -0.70
     à¨
    -0.69
    POSITIVE LOGITS
    usalem
    1.07
    onne
    0.90
    Jer
    0.88
    sey
    0.81
     Crus
    0.80
    ously
    0.77
     Cors
    0.76
     Shore
    0.73
     Britann
    0.69
    Jere
    0.68
    Activations Density 0.015%

    No Known Activations