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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. 10-RES-JB
    11. 23402
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    Explanations

    phrases involving dialogue exchanges and questions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of dialogue or questions within a conversation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.89
    ahime
    -0.83
    eatures
    -0.78
     satell
    -0.75
     encount
    -0.74
    athered
    -0.74
    conservancy
    -0.70
    senal
    -0.69
     aging
    -0.68
     combating
    -0.68
    POSITIVE LOGITS
    Then
    1.42
     Then
    1.37
    Yeah
    1.18
    Well
    1.15
    then
    1.14
     Well
    1.12
     Anyway
    1.11
    Later
    1.10
     Turns
    1.09
    Huh
    1.09
    Activations Density 0.383%

    No Known Activations