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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. 4-RES-JB
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    Explanations

    mentions of specific locations, with a focus on the city of Ann Arbor

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or institutions, particularly Ann Arbor and its surrounding references

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

    No Comments

    Negative Logits
    eer
    -0.76
     Huckabee
    -0.72
    dar
    -0.70
    eers
    -0.69
    PDATE
    -0.69
    teen
    -0.69
     livest
    -0.68
    ters
    -0.67
     Rog
    -0.65
    ether
    -0.63
    POSITIVE LOGITS
     Arbor
    0.85
    ashtra
    0.77
    ocated
    0.75
    ãĤ¢ãĥ«
    0.74
    åħī
    0.74
    女
    0.71
    idian
    0.69
    itational
    0.69
    ocate
    0.68
    ãĥ¼ãĥĨãĤ£
    0.68
    Activations Density 0.032%

    No Known Activations