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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. 2-RES-JB
    11. 13929
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    Explanations

    mentions of the country "Japan"

    oai_token-act-pair · gpt-3.5-turbo

    references to Japan and Bhutan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tenant
    -0.86
    rey
    -0.71
     Dynam
    -0.69
     ants
    -0.68
     referral
    -0.67
     Bullets
    -0.66
     Schwarz
    -0.66
     Proof
    -0.65
     Hive
    -0.65
     tenants
    -0.65
    POSITIVE LOGITS
    icum
    1.18
    apan
    1.17
    ese
    1.17
    uala
    1.09
    esan
    1.05
    ica
    0.99
    iland
    0.97
    ican
    0.96
    apolis
    0.94
    nered
    0.94
    Activations Density 0.020%

    No Known Activations