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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. 9301
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    Explanations

    cryptic and nonsensical sequences of characters mixed with occasional references to technology terms like "Internet" and "Windows Media"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of games or gaming-related content

    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
    )."
    -0.83
    .")
    -0.70
    ").
    -0.69
    STDOUT
    -0.69
    âĸĵ
    -0.67
    ]."
    -0.65
    DERR
    -0.65
    ).[
    -0.65
     undermin
    -0.63
     obsc
    -0.61
    POSITIVE LOGITS
     âĵĺ
    0.98
     (?,
    0.83
     Originally
    0.74
    ensis
    0.65
    itars
    0.63
     LTD
    0.63
     MFT
    0.62
     Completed
    0.60
     Following
    0.59
     Built
    0.59
    Activations Density 0.939%

    No Known Activations