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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. 3369
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    Explanations

    locations or place names, particularly focusing on cities and neighborhoods

    oai_token-act-pair · gpt-3.5-turbo

    place names and geographic references

    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
    quished
    -0.70
     Rebell
    -0.63
     penet
    -0.60
     positives
    -0.60
    theless
    -0.59
     bearer
    -0.58
     occasion
    -0.58
     fitt
    -0.57
    selves
    -0.57
     authors
    -0.56
    POSITIVE LOGITS
    town
    0.98
     Heights
    0.94
     Township
    0.88
     suburb
    0.88
    stown
    0.85
    ville
    0.84
     Moines
    0.84
    opolis
    0.82
    dale
    0.82
     vicinity
    0.82
    Activations Density 0.248%

    No Known Activations