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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. 20072
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    Explanations

    verbs related to physical actions or changes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to power dynamics and outcomes

    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
    Not in Any Lists

    No Comments

    Negative Logits
     realise
    -0.60
     Responsibility
    -0.56
     stagnation
    -0.55
     commod
    -0.54
     GPL
    -0.53
     collide
    -0.53
     sag
    -0.51
    uld
    -0.51
     ner
    -0.50
     doesnt
    -0.50
    POSITIVE LOGITS
    aneously
    0.73
     nationwide
    0.73
     thanks
    0.71
     whenever
    0.66
     anytime
    0.65
     amid
    0.65
     onstage
    0.64
     Blasio
    0.64
     shortly
    0.63
     —
    0.63
    Activations Density 1.004%

    No Known Activations