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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
    11. 6436
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    Explanations

    mentions of unauthorized or illegal settlements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to slums and inadequate housing conditions

    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
     CHO
    -0.68
     GIF
    -0.66
     neut
    -0.66
    enhagen
    -0.64
    ás
    -0.63
     actionGroup
    -0.62
    VIDIA
    -0.61
     induct
    -0.60
    BAT
    -0.60
     Leilan
    -0.59
    POSITIVE LOGITS
    lain
    1.00
    builders
    0.84
    building
    0.84
     overlooking
    0.83
    warming
    0.80
    pole
    0.79
    wreck
    0.78
    scape
    0.78
     dwell
    0.78
     dwelling
    0.77
    Activations Density 0.114%

    No Known Activations