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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. 8-RES-JB
    11. 20072
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    Explanations

    phrases indicating growth or increase

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the preposition "in" indicating locations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wine
    -0.67
    0000000000000000
    -0.67
    trap
    -0.65
    pointers
    -0.63
     severed
    -0.63
    çīĪ
    -0.61
    £ı
    -0.61
     exited
    -0.61
     nailed
    -0.59
     oath
    -0.59
    POSITIVE LOGITS
     spite
    1.16
     tandem
    1.12
     accordance
    1.09
     favor
    1.09
     anticipation
    1.03
    activity
    1.03
    efficiency
    1.00
     unison
    0.99
    versely
    0.98
     relation
    0.98
    Activations Density 0.193%

    No Known Activations