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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. 6-RES-JB
    11. 9848
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    Explanations

    references to geographical locations, particularly cities and states like Arizona

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Arizona and its sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eners
    -0.82
    fare
    -0.82
    soDeliveryDate
    -0.76
    hops
    -0.75
    hare
    -0.75
    ructure
    -0.74
    itness
    -0.72
    uther
    -0.70
    flows
    -0.70
    lass
    -0.69
    POSITIVE LOGITS
     Coyotes
    1.26
     Cardinals
    1.10
     Suns
    0.90
    ansas
    0.90
     State
    0.88
     Revised
    0.87
     Airlines
    0.87
     Republic
    0.85
     AZ
    0.84
     Springs
    0.82
    Activations Density 0.020%

    No Known Activations