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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. 7-RES-JB
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    Explanations

    references to cities or sports teams, with a focus on the city of Miami

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Miami

    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
     guiActiveUn
    -0.81
    UGC
    -0.80
    icator
    -0.76
    uably
    -0.74
    Els
    -0.73
    iary
    -0.72
    dy
    -0.72
    rd
    -0.71
    arb
    -0.71
    ãĤ¦
    -0.71
    POSITIVE LOGITS
     Beach
    1.17
     Gardens
    1.16
     Dolphins
    1.12
     Hurricanes
    1.04
     Marlins
    0.98
     Heat
    0.95
    ricanes
    0.94
     Herald
    0.84
     Lakes
    0.83
     Harbour
    0.77
    Activations Density 0.025%

    No Known Activations