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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. 11-RES-JB
    11. 5459
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    Explanations

    mentions of different cities and how they are described

    oai_token-act-pair · gpt-3.5-turbo

    words related to cities and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bags
    -0.85
    IPS
    -0.79
    erity
    -0.78
    Order
    -0.74
    ©¶æ
    -0.73
    ULTS
    -0.72
     grenades
    -0.71
    flows
    -0.70
    nikov
    -0.70
     Machines
    -0.69
    POSITIVE LOGITS
     destination
    1.52
     hub
    1.28
     city
    1.25
     locale
    1.23
     suburb
    1.22
     stronghold
    1.21
     hots
    1.20
     tourist
    1.19
     gateway
    1.17
     metropolitan
    1.16
    Activations Density 0.251%

    No Known Activations