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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. 10-RES-JB
    11. 6985
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    Explanations

    mentions of financial support for journalism or writing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the importance of accessible journalism and community support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     caution
    -0.62
     caveats
    -0.58
     blockers
    -0.56
     clipboard
    -0.55
     patience
    -0.55
    ibaba
    -0.54
    alties
    -0.53
     pitfalls
    -0.53
     limits
    -0.52
     hypers
    -0.52
    POSITIVE LOGITS
    usha
    0.80
    utenberg
    0.66
    WN
    0.66
    IVE
    0.61
     Outbreak
    0.60
    AZ
    0.59
     Gutenberg
    0.58
    Graham
    0.58
    Content
    0.58
    ãĥ´
    0.57
    Activations Density 0.063%

    No Known Activations