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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. 12895
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    Explanations

    references to the specific term "Hunger."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "hunger" and related terms

    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
    verages
    -0.79
    osc
    -0.77
    arbon
    -0.75
    rete
    -0.70
    igel
    -0.69
    umenthal
    -0.68
    etheless
    -0.68
    lled
    -0.68
    eed
    -0.68
    notations
    -0.68
    POSITIVE LOGITS
     Hunger
    1.14
     Games
    0.96
     Seasons
    0.87
     Ashes
    0.86
     Confeder
    0.81
    ford
    0.77
    lust
    0.77
     Ago
    0.77
     Masquerade
    0.76
     Olympics
    0.73
    Activations Density 0.022%

    No Known Activations