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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
    11. 12176
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    Explanations

    phrases related to a specific location, specifically the city of Barcelona

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Barcelona and related cultural references

    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
     inject
    -0.72
     Mek
    -0.65
     overse
    -0.64
    ief
    -0.63
    doms
    -0.63
     Miner
    -0.62
     Reynolds
    -0.59
    Todd
    -0.59
     dispens
    -0.58
     hooks
    -0.58
    POSITIVE LOGITS
     Barcelona
    3.57
     Catalonia
    2.54
     Catalan
    2.41
    celona
    2.40
     Madrid
    2.10
    Spain
    1.93
     Messi
    1.91
     Spain
    1.90
     Guardiola
    1.84
     Valencia
    1.82
    Activations Density 0.014%

    No Known Activations