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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. 11-RES-JB
    11. 20752
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    Explanations

    mentions of the city "Dallas"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Dallas" and its associated sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oys
    -0.80
    bed
    -0.75
    iflower
    -0.70
    rid
    -0.69
    vic
    -0.67
    icably
    -0.67
    icism
    -0.65
    nir
    -0.65
    agy
    -0.63
    ãĢIJ
    -0.63
    POSITIVE LOGITS
     Cowboys
    1.38
     Mavericks
    1.36
     Stars
    1.10
    Stars
    1.09
     Cowboy
    0.95
    Dallas
    0.92
     Morning
    0.92
     Aires
    0.85
     Dallas
    0.85
     TX
    0.83
    Activations Density 0.036%

    No Known Activations