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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. 7-RES-JB
    11. 7806
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    INDEX
    Explanations

    adjectives describing quality or condition along with comparative words

    oai_token-act-pair · gpt-3.5-turbo

    evaluation terms that assess quality or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mongo
    -0.82
     Typh
    -0.77
     Hilton
    -0.75
     Sturgeon
    -0.72
     Spotlight
    -0.71
     Typhoon
    -0.71
     Beirut
    -0.70
     Redmond
    -0.69
     Comet
    -0.68
     McDonnell
    -0.68
    POSITIVE LOGITS
     versa
    1.24
     thereof
    0.96
    cellaneous
    0.80
    ipolar
    0.79
     thereto
    0.78
    ecided
    0.75
    empt
    0.74
    Repe
    0.73
     or
    0.72
    harm
    0.71
    Activations Density 0.568%

    No Known Activations