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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. 6-RES-JB
    11. 14679
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    Explanations

    phrases related to dates and events

    oai_token-act-pair · gpt-3.5-turbo

    recurring references to events occurring recently

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    alist
    -0.64
    azard
    -0.62
    ]),
    -0.58
    è¦ļéĨĴ
    -0.58
    imates
    -0.57
    AFP
    -0.57
    anism
    -0.54
    atlantic
    -0.54
    collect
    -0.53
    ]).
    -0.53
    POSITIVE LOGITS
     however
    0.73
     Kappa
    0.67
     tho
    0.61
     ital
    0.60
     haste
    0.58
     afterward
    0.55
     bye
    0.54
     accordingly
    0.54
     afterwards
    0.53
     though
    0.52
    Activations Density 1.264%

    No Known Activations