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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. 9-RES-JB
    11. 13159
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    Explanations

    phrases related to making decisions or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial transactions and negotiations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quartered
    -0.61
    emale
    -0.58
     boasted
    -0.56
    interstitial
    -0.55
    ¿½
    -0.54
     vast
    -0.54
     myriad
    -0.52
    endon
    -0.52
    Thousands
    -0.51
    ovi
    -0.50
    POSITIVE LOGITS
     ASAP
    1.33
     :)
    1.18
     ðŁĻĤ
    1.10
     ;)
    1.09
     accordingly
    1.00
     anyways
    1.00
     :-)
    0.99
     yourselves
    0.99
     ourselves
    0.89
     anyway
    0.88
    Activations Density 1.024%

    No Known Activations