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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. 15784
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    oai_token-act-pair · gpt-3.5-turbo

    sentences with high emotional or dramatic emphasis

    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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    No Comments

    Negative Logits
     transact
    -0.70
     detainees
    -0.69
    apers
    -0.67
     overlap
    -0.67
     inherited
    -0.67
     sidx
    -0.66
    ieth
    -0.66
     analysts
    -0.66
     kidn
    -0.65
     negoti
    -0.65
    POSITIVE LOGITS
     Turns
    1.69
     Luckily
    1.25
    Fast
    1.20
     Thankfully
    1.18
    Luckily
    1.11
     Eventually
    1.10
     Unfortunately
    1.09
    Thankfully
    1.09
     Needless
    1.08
     Surprisingly
    1.07
    Activations Density 0.486%

    No Known Activations