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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. 8-RES-JB
    11. 11082
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    Explanations

    phrases related to packing and preparing to leave or travel

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating movement or packing of belongings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rosso
    -0.71
    )}
    -0.71
     respectively
    -0.68
     }}
    -0.66
    Refer
    -0.66
    SPONSORED
    -0.63
    }}
    -0.63
    ]}
    -0.62
     Modes
    -0.61
    interstitial
    -0.61
    POSITIVE LOGITS
    epad
    0.63
     à¨
    0.61
     and
    0.60
     bluff
    0.59
     contrace
    0.59
     intending
    0.56
     TheNitromeFan
    0.56
    miah
    0.55
     grabbed
    0.55
     randomly
    0.54
    Activations Density 0.869%

    No Known Activations