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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
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    Explanations

    references to the location "Nevada"

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Nevada

    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
    fare
    -0.83
    */(
    -0.80
    umper
    -0.74
    orial
    -0.73
    ihad
    -0.73
    notation
    -0.71
     behav
    -0.70
    76561
    -0.70
    ī
    -0.69
    reads
    -0.68
    POSITIVE LOGITS
     Nevada
    0.89
    ites
    0.78
    ite
    0.77
     Coyotes
    0.75
    anan
    0.74
     Firearms
    0.71
     crossings
    0.71
    sburg
    0.70
     Territory
    0.70
     Skies
    0.69
    Activations Density 0.004%

    No Known Activations