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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. 3-RES-JB
    11. 12430
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    Explanations

    phrases encouraging the reader to stay updated and engaged with information or activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of maintaining or continuing actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.80
    女
    -0.78
    Interstitial
    -0.77
    ELF
    -0.71
     lowly
    -0.68
    displayText
    -0.68
    »
    -0.66
    OUN
    -0.62
    ody
    -0.62
    odied
    -0.61
    POSITIVE LOGITS
     tabs
    0.90
    chin
    0.89
    overs
    0.87
     Keep
    0.85
    ers
    0.83
    ership
    0.83
    keeping
    0.79
     Calm
    0.75
    trap
    0.74
    tracks
    0.74
    Activations Density 0.029%

    No Known Activations