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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. 10-RES-JB
    11. 6567
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to blocking or unlocking digital content or accounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -0.75
     toget
    -0.71
     handc
    -0.70
    tti
    -0.67
     quarters
    -0.65
     Dh
    -0.63
     liner
    -0.61
     nutshell
    -0.60
    ppe
    -0.60
     Frie
    -0.59
    POSITIVE LOGITS
    able
    1.49
    ables
    1.42
    ABLE
    1.22
    ability
    1.21
    ment
    1.12
    abilities
    1.00
    ers
    0.96
    edIn
    0.95
    ible
    0.94
    er
    0.93
    Activations Density 0.111%

    No Known Activations