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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. 3-RES-JB
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    Explanations

    locations or places, particularly focusing on Amsterdam

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographic locations, particularly cities in the context of events or activities

    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
    vae
    -0.88
    aved
    -0.77
    vati
    -0.73
    gars
    -0.72
    pring
    -0.72
    ramid
    -0.70
    IPS
    -0.68
    ched
    -0.68
    ivot
    -0.67
    ancial
    -0.66
    POSITIVE LOGITS
    sterdam
    1.37
     Amsterdam
    1.11
     Beach
    0.85
     Dutch
    0.80
     Netherlands
    0.76
     Admir
    0.74
     Hotel
    0.74
     Bee
    0.72
    ijk
    0.71
     Belg
    0.69
    Activations Density 0.010%

    No Known Activations