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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. 6019
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    Explanations

    technical instructions and commands

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating readiness or completion of tasks

    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
    soType
    -0.83
     Ashton
    -0.75
     Ake
    -0.74
     Barrett
    -0.64
     disobedience
    -0.63
     Bowen
    -0.63
     aversion
    -0.63
     derog
    -0.62
     antip
    -0.62
     restraint
    -0.62
    POSITIVE LOGITS
     finished
    1.15
     vo
    1.10
     Finished
    1.08
     prest
    1.04
    Congratulations
    0.99
     ready
    0.98
     finally
    0.91
     satisfied
    0.91
     Congratulations
    0.90
     completed
    0.89
    Activations Density 0.469%

    No Known Activations