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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of geographical locations, specifically the state of Connecticut

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Connecticut and its associated entities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    andr
    -0.83
    vel
    -0.79
    henko
    -0.70
    quet
    -0.70
    haps
    -0.69
     Bulgar
    -0.68
    bol
    -0.66
    aky
    -0.66
    heres
    -0.66
    hod
    -0.66
    POSITIVE LOGITS
     Connecticut
    1.01
    icut
    0.92
     Rapids
    0.92
     Conn
    0.87
     Yankee
    0.85
     Devils
    0.82
     Hath
    0.81
     Springs
    0.81
     Instruments
    0.76
     Rhode
    0.76
    Activations Density 0.005%

    No Known Activations