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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. 8-RES-JB
    11. 20131
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    Explanations

    phrases expressing contrast or impossibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing permission or allowances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    itiveness
    -0.67
    erate
    -0.64
     Triumph
    -0.62
    sett
    -0.57
    emate
    -0.57
    ulators
    -0.57
     nutshell
    -0.56
    indal
    -0.56
    compliance
    -0.55
    license
    -0.54
    POSITIVE LOGITS
    ï¸
    0.72
    âĸijâĸij
    0.70
    ä¹
    0.68
    ################
    0.66
    ><
    0.66
    ãĥĥãĥī
    0.65
    CLUD
    0.65
    wcsstore
    0.64
    ########
    0.62
    ̶
    0.61
    Activations Density 0.759%

    No Known Activations