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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. 6-RES-JB
    11. 1549
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    INDEX
    Explanations

    mentions of specific government bodies or officials

    oai_token-act-pair · gpt-3.5-turbo

    references to states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angelo
    -0.65
    bear
    -0.63
    KT
    -0.63
    epad
    -0.62
    iator
    -0.62
    Reference
    -0.61
    JECT
    -0.61
    GUI
    -0.61
    Editor
    -0.61
    editor
    -0.61
    POSITIVE LOGITS
     tallest
    0.89
     own
    0.86
     premier
    0.84
    selves
    0.83
     largest
    0.81
     finest
    0.78
     shores
    0.78
     landmark
    0.78
     newest
    0.78
     poorest
    0.78
    Activations Density 0.111%

    No Known Activations