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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. 1906
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    Explanations

    sentences expressing strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong feelings or emotions

    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
    heid
    -0.86
    enary
    -0.82
    ansas
    -0.74
    reath
    -0.71
    utions
    -0.70
    lain
    -0.70
    iture
    -0.70
    cair
    -0.68
    antry
    -0.67
    ultan
    -0.66
    POSITIVE LOGITS
     bothered
    0.83
     appreciated
    0.82
     liked
    0.81
     appreciate
    0.78
     darn
    0.78
     mathemat
    0.78
     differentiated
    0.75
     needed
    0.75
     REALLY
    0.75
     bothering
    0.74
    Activations Density 0.042%

    No Known Activations