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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. 1-RES-JB
    11. 22704
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    Explanations

    mentions of specific food chains and their related products

    oai_token-act-pair · gpt-3.5-turbo

    references to restaurant brands and food establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Subjects
    -0.75
     Matter
    -0.74
     MAT
    -0.74
     Waves
    -0.71
     Resistance
    -0.70
     IPCC
    -0.69
     redistributed
    -0.66
     Standing
    -0.65
     SPD
    -0.65
    åĬ
    -0.63
    POSITIVE LOGITS
    isine
    1.06
     restaurants
    1.05
     Restaur
    0.96
     restaurant
    0.96
    Cola
    0.93
    stores
    0.92
    becue
    0.92
    ista
    0.92
     stores
    0.91
     eater
    0.91
    Activations Density 0.460%

    No Known Activations