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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. 11176
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    Explanations

    verbs related to giving and providing

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to providing or yielding something

    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
    ansas
    -0.62
    ute
    -0.59
    verend
    -0.56
    ategy
    -0.55
    ä¸ī
    -0.55
    Originally
    -0.55
    ban
    -0.54
    cler
    -0.53
    arella
    -0.52
     Hungry
    -0.52
    POSITIVE LOGITS
     rise
    1.27
     us
    1.05
     birth
    0.95
    AW
    0.86
     cred
    0.82
     insight
    0.82
     ample
    0.80
     them
    0.80
     impetus
    0.79
    aways
    0.79
    Activations Density 0.063%

    No Known Activations