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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. 1-RES-JB
    11. 8835
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    Explanations

    phrases related to specific individuals or organizations with the initials "MR"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or individual denoted as "MR"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.70
     Strait
    -0.70
    spring
    -0.66
     Albania
    -0.65
    */(
    -0.64
    orage
    -0.63
     Hots
    -0.61
    ãĥĥãĥĪ
    -0.60
    felt
    -0.59
    dll
    -0.59
    POSITIVE LOGITS
     MR
    0.94
    MR
    0.85
    acket
    0.81
     Lumpur
    0.81
    CTV
    0.81
    andom
    0.80
    miah
    0.79
    agnar
    0.79
    angelo
    0.79
    aturdays
    0.76
    Activations Density 0.008%

    No Known Activations