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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. 6146
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    Explanations

    locations or places in a document, such as museums, gardens, and houses

    oai_token-act-pair · gpt-3.5-turbo

    specific entities and important concepts related to locations, issues, and systems

    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
    ģĸ
    -0.78
    renheit
    -0.77
    REE
    -0.75
     Leone
    -0.72
    ĸļ
    -0.71
    è£ħ
    -0.70
     Including
    -0.68
    Eva
    -0.67
    ADVERTISEMENT
    -0.67
    姫
    -0.67
    POSITIVE LOGITS
     itself
    1.20
    iest
    1.17
     aspect
    1.15
     portion
    1.09
     guy
    1.04
     thing
    0.98
     ones
    0.95
     element
    0.93
     stuff
    0.92
     angle
    0.91
    Activations Density 0.704%

    No Known Activations