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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. 7-RES-JB
    11. 19111
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    Explanations

    locations or places, particularly focusing on spaces where events or activities may occur (such as Heathrow Airport, Bath Abbey, etc.)

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or landmarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    umenthal
    -0.78
    atorium
    -0.77
     Sounders
    -0.71
    Cloud
    -0.70
    claimer
    -0.69
    eering
    -0.69
    eer
    -0.69
    izont
    -0.68
     retard
    -0.67
    vous
    -0.66
    POSITIVE LOGITS
    lehem
    0.95
    rones
    0.84
    urst
    0.82
    ulhu
    0.81
    alia
    0.81
    lete
    0.70
    ardy
    0.69
    aniel
    0.69
    gdala
    0.68
    away
    0.67
    Activations Density 0.088%

    No Known Activations