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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. 7-RES-JB
    11. 9395
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    Explanations

    words related to a specific name or subject (likely "Hark") and varying related terms

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "Hark"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppo
    -0.72
    oret
    -0.64
    ãģŁ
    -0.61
    æµ
    -0.59
    WAY
    -0.59
     Romeo
    -0.58
     unnecess
    -0.58
    ples
    -0.58
     bom
    -0.56
     princ
    -0.55
    POSITIVE LOGITS
    ozy
    1.27
    ansas
    1.25
    enment
    0.94
    anian
    0.92
    ulic
    0.91
    entin
    0.91
    erous
    0.87
    eting
    0.87
    manship
    0.84
    mares
    0.84
    Activations Density 0.032%

    No Known Activations