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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. 3-RES-JB
    11. 11985
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    Explanations

    references to streets

    oai_token-act-pair · gpt-3.5-turbo

    references to streets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -0.87
    emonic
    -0.77
    sonian
    -0.74
     Archdemon
    -0.73
    xit
    -0.72
    opsis
    -0.72
    emort
    -0.71
    eer
    -0.70
    ovie
    -0.68
    âĹ¼
    -0.67
    POSITIVE LOGITS
    cars
    1.06
     street
    0.93
    fare
    0.93
    street
    0.87
    gap
    0.84
    fighter
    0.83
    walker
    0.82
    walk
    0.80
     streets
    0.79
    lights
    0.79
    Activations Density 0.017%

    No Known Activations