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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. 22467
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    Explanations

    phrases related to specific locations, such as Arizona and Phoenix

    oai_token-act-pair · gpt-3.5-turbo

    references to institutions and organizations within Arizona

    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
     Notting
    -1.13
     Hamburg
    -1.09
    emouth
    -0.93
    å
    -0.91
     Jamaica
    -0.91
     Gren
    -0.88
     Swedish
    -0.87
    ngth
    -0.86
     Sweden
    -0.85
    adder
    -0.84
    POSITIVE LOGITS
     Arizona
    2.29
     AZ
    2.24
     Tucson
    2.23
    Arizona
    2.23
     Phoenix
    2.05
    Phoenix
    2.00
     Ari
    1.85
     Mesa
    1.84
    Ari
    1.82
    AZ
    1.70
    Activations Density 0.262%

    No Known Activations