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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 19908
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ikuman
    -0.63
     monop
    -0.57
     cele
    -0.56
    iets
    -0.54
     mur
    -0.54
     elder
    -0.54
    ãĤ´
    -0.53
    OUP
    -0.53
     looted
    -0.52
     colour
    -0.52
    POSITIVE LOGITS
     Moreover
    1.00
     Needless
    1.00
     Similarly
    0.98
     Additionally
    0.97
     Furthermore
    0.96
     Likewise
    0.94
     Ultimately
    0.93
     Alternatively
    0.93
     Such
    0.93
     Consequently
    0.92
    Activations Density 0.853%

    No Known Activations