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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. 5352
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    Explanations

    references to people's names, particularly those containing the word 'Ward'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific wards or districts

    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
    kered
    -0.80
    ctions
    -0.78
    ãĥĪ
    -0.74
    ivia
    -0.73
    ãĥīãĥ©
    -0.72
    gdala
    -0.72
    ctory
    -0.71
    ogene
    -0.71
    hedral
    -0.70
    gd
    -0.69
    POSITIVE LOGITS
    robe
    1.96
    ens
    1.14
    ynski
    0.99
    ages
    0.94
    age
    0.90
    hips
    0.89
    een
    0.88
    ell
    0.86
    er
    0.85
    eln
    0.83
    Activations Density 0.047%

    No Known Activations