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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. 11501
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    Explanations

    phrases related to things that have been formally requested, produced, or created

    oai_token-act-pair · gpt-3.5-turbo

    references to commissioned studies or reports

    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
    amac
    -0.74
    she
    -0.72
    corn
    -0.67
     Klu
    -0.66
    oland
    -0.65
    ells
    -0.64
     Alz
    -0.64
    avia
    -0.64
    mob
    -0.64
    ox
    -0.64
    POSITIVE LOGITS
     commissioned
    1.17
     commissions
    0.99
     commission
    0.89
     nudity
    0.76
    structed
    0.73
     councill
    0.72
     cens
    0.72
    rontal
    0.69
     Dame
    0.68
     artwork
    0.68
    Activations Density 0.007%

    No Known Activations