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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. 7-RES-JB
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    Explanations

    streets and locations mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of streets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emort
    -0.97
    merce
    -0.92
    arians
    -0.85
    arian
    -0.84
    mingham
    -0.79
    berman
    -0.75
    unity
    -0.73
    isman
    -0.73
    ividual
    -0.72
    abase
    -0.72
    POSITIVE LOGITS
     Tunnel
    0.89
     Fighter
    0.85
     Address
    0.84
     Crossing
    0.83
    cars
    0.82
     Street
    0.81
    street
    0.81
    fare
    0.80
    Street
    0.78
    bridge
    0.77
    Activations Density 0.022%

    No Known Activations