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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. 24408
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    Explanations

    references to geographical locations, particularly places next to a specific river called Rio Grande

    oai_token-act-pair · gpt-3.5-turbo

    names of locations and individuals

    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
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    No Comments

    Negative Logits
    PLIED
    -0.82
    ilk
    -0.81
    apy
    -0.80
    aic
    -0.78
    hire
    -0.77
    cens
    -0.74
    adj
    -0.69
    FACE
    -0.69
    lished
    -0.68
    orb
    -0.67
    POSITIVE LOGITS
    steen
    0.90
     Prairie
    0.81
     Grande
    0.80
     Sabha
    0.78
    ollen
    0.73
     Starr
    0.70
     Mesa
    0.66
     Gram
    0.65
     Bos
    0.65
     Rouge
    0.64
    Activations Density 0.016%

    No Known Activations