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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. 2-RES-JB
    11. 7177
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    Explanations

    mentions of a specific fantasy world or book within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    references to "wand" or "Wandering" in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĻĤ
    -0.92
    ccording
    -0.86
     lapse
    -0.78
    ntil
    -0.77
    Ļ½
    -0.75
    «ĺ
    -0.74
    ĪĴ
    -0.73
    £ı
    -0.73
    terday
    -0.73
     atmosphere
    -0.70
    POSITIVE LOGITS
    erers
    1.66
    erer
    1.44
     Wand
    1.18
    ering
    1.13
    ern
    0.97
    ered
    0.89
    endor
    0.87
    ulla
    0.87
     wand
    0.87
    eful
    0.87
    Activations Density 0.012%

    No Known Activations