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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14218
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    Explanations

    locations of resorts and hotels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of resorts and related establishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    м
    -0.73
     ignition
    -0.68
    iple
    -0.68
     RNA
    -0.65
     SIGN
    -0.63
     matter
    -0.61
    в
    -0.61
     cm
    -0.61
    matter
    -0.60
     filament
    -0.60
    POSITIVE LOGITS
     Hotel
    1.09
     hotels
    1.03
     attractions
    0.98
    pole
    0.96
     hotel
    0.94
     attraction
    0.93
     Resort
    0.93
     Plaza
    0.89
     pav
    0.86
     Casino
    0.86
    Activations Density 0.041%

    No Known Activations