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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. 2-RES-JB
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    Explanations

    mentions of specific geographical locations, particularly suburbs

    oai_token-act-pair · gpt-3.5-turbo

    references to suburban locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lda
    -0.75
    CV
    -0.67
    TPP
    -0.67
    Bone
    -0.65
    ewater
    -0.65
    ever
    -0.64
    stic
    -0.64
    ptic
    -0.64
    gettable
    -0.63
     positives
    -0.63
    POSITIVE LOGITS
     suburb
    1.17
     malls
    0.99
     mall
    0.88
     neighb
    0.87
     enclave
    0.84
     suburbs
    0.83
    dale
    0.78
    chool
    0.78
    folk
    0.75
    imore
    0.74
    Activations Density 0.006%

    No Known Activations