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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

    references to a specific place, specifically Castle

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Castle."

    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
    earcher
    -0.83
    imester
    -0.75
    atives
    -0.72
    ĪĴ
    -0.70
    iferation
    -0.70
    ostics
    -0.70
    ylene
    -0.68
    iating
    -0.66
    irements
    -0.65
     observable
    -0.65
    POSITIVE LOGITS
     Templar
    0.96
    llan
    0.91
     Castle
    0.84
     Crest
    0.82
    fish
    0.81
     castle
    0.78
     Royale
    0.76
    bridge
    0.74
    castle
    0.74
     Towers
    0.73
    Activations Density 0.006%

    No Known Activations