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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. 8-RES-JB
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    Explanations

    references to the city of Dallas

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Dallas and its associated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oys
    -0.87
    icably
    -0.70
    iltration
    -0.68
    ISTER
    -0.66
    arty
    -0.66
    rely
    -0.65
    udding
    -0.65
    osate
    -0.64
    unda
    -0.64
    fty
    -0.64
    POSITIVE LOGITS
     Mavericks
    1.21
     Cowboys
    1.09
    Stars
    1.02
     Stars
    0.98
    Dallas
    0.79
     Morning
    0.76
    boro
    0.75
     Cowboy
    0.74
    burg
    0.74
     Texans
    0.72
    Activations Density 0.031%

    No Known Activations