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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. 6-RES-JB
    11. 17842
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    Explanations

    references to specific locations, particularly parking lots

    oai_token-act-pair · gpt-3.5-turbo

    references to parking lots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ighth
    -0.82
    Reviewer
    -0.79
    BIT
    -0.78
    wcsstore
    -0.75
    emonic
    -0.72
    inventoryQuantity
    -0.70
    ynes
    -0.68
    unte
    -0.68
    ãģĦ
    -0.67
    catentry
    -0.66
    POSITIVE LOGITS
     attendant
    0.89
     attendants
    0.88
     entrance
    0.84
     entrances
    0.83
    tyard
    0.77
     stalls
    0.76
     frequ
    0.76
     Massacre
    0.73
     doors
    0.73
     near
    0.69
    Activations Density 0.140%

    No Known Activations