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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. 0-RES-JB
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    Explanations

    mentions of locations, with a strong preference for the term "Jersey"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of New Jersey

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     #####
    -0.72
     ub
    -0.72
    ould
    -0.70
     communists
    -0.67
     ##
    -0.67
     rub
    -0.65
    RAW
    -0.65
    âĶĢ
    -0.65
     arom
    -0.64
    hao
    -0.63
    POSITIVE LOGITS
     Jersey
    3.65
    Jer
    1.96
     Brunswick
    1.78
     Hampshire
    1.76
     York
    1.76
     Newark
    1.66
     NJ
    1.65
     Essex
    1.53
     Orleans
    1.50
    NJ
    1.48
    Activations Density 0.021%

    No Known Activations