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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. 7424
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    Explanations

    locations and numeric figures

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or counts

    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
     enthus
    -0.72
     newsp
    -0.68
     behav
    -0.66
     puzz
    -0.65
     advis
    -0.62
     Revel
    -0.61
     fantas
    -0.61
     behavi
    -0.60
     enthusi
    -0.60
     neoc
    -0.59
    POSITIVE LOGITS
    000
    1.36
    500
    1.21
    600
    1.15
    400
    1.13
    300
    1.13
    200
    1.13
    800
    1.12
    700
    1.11
    00
    1.08
    8
    1.06
    Activations Density 0.082%

    No Known Activations