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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. 3149
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    Explanations

    phrases related to personal growth and self-improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal empowerment and well-being

    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
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    No Comments

    Negative Logits
    eries
    -0.58
    yssey
    -0.55
     lamented
    -0.54
    ãĥł
    -0.54
     wonder
    -0.54
     stemmed
    -0.52
    ramid
    -0.52
     wondered
    -0.51
    ameless
    -0.51
    except
    -0.51
    POSITIVE LOGITS
     beforehand
    1.16
     sufficiently
    1.01
     enough
    0.99
    enough
    0.90
     correctly
    0.86
    *.
    0.85
     Enough
    0.85
    .(
    0.85
    Enough
    0.85
     properly
    0.84
    Activations Density 0.711%

    No Known Activations