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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. 0-RES-JB
    11. 1469
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    Explanations

    words related to office or organizational settings

    oai_token-act-pair · gpt-3.5-turbo

    references to items related to note-taking or record-keeping, specifically clipboards and mentions of parity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fenrir
    -0.75
     comed
    -0.75
     Kirin
    -0.74
    ado
    -0.70
    ibu
    -0.70
     Sag
    -0.70
    ãĤ·ãĥ£
    -0.67
     circuit
    -0.67
     Buddha
    -0.64
     sag
    -0.64
    POSITIVE LOGITS
     clipboard
    3.66
     parity
    1.97
     Pryor
    1.44
     Pip
    1.29
    matched
    1.08
     pip
    1.00
    zee
    1.00
     Clip
    0.99
     clin
    0.96
    ivably
    0.94
    Activations Density 0.069%

    No Known Activations