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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. 6162
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    Explanations

    words related to activities or locations in an office or educational setting

    oai_token-act-pair · gpt-3.5-turbo

    references to various events or activities that suggest an organized setting or social gathering

    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
    odied
    -0.68
    riched
    -0.67
     Converted
    -0.67
     Sporting
    -0.66
     Supported
    -0.66
    accompanied
    -0.66
    ccording
    -0.64
    ĸļ
    -0.63
     purportedly
    -0.62
     Unloaded
    -0.62
    POSITIVE LOGITS
     guy
    1.07
    osphere
    1.00
     room
    1.00
     booth
    0.96
     aisle
    0.95
     drawer
    0.94
     tray
    0.94
    iest
    0.91
     thing
    0.86
     haha
    0.85
    Activations Density 0.538%

    No Known Activations