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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. 3494
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    Explanations

    information related to legal or financial matters

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups in various contexts

    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
     warp
    -0.80
     JPEG
    -0.71
     Linear
    -0.67
     decimal
    -0.65
     Starts
    -0.65
     Tulsa
    -0.65
     pyramid
    -0.65
     synerg
    -0.64
     Rhodes
    -0.64
     spir
    -0.64
    POSITIVE LOGITS
    who
    1.32
    ï¸ı
    1.31
    whose
    1.05
    username
    0.90
    ship
    0.88
    resent
    0.87
     who
    0.86
    living
    0.84
    else
    0.83
    patient
    0.83
    Activations Density 0.261%

    No Known Activations