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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. 10904
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    Explanations

    phrases related to minimalism or efficiency

    oai_token-act-pair · gpt-3.5-turbo

    references to minimalism or minimal amounts in various contexts

    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
    ravings
    -0.68
    Queen
    -0.66
    masters
    -0.65
    dragon
    -0.65
    lyn
    -0.64
    spr
    -0.64
    Sah
    -0.63
    creator
    -0.62
    saw
    -0.62
    director
    -0.62
    POSITIVE LOGITS
    istic
    1.17
    istically
    1.13
     amount
    1.04
     amounts
    0.98
    izes
    0.97
     (<
    0.93
    aneous
    0.89
    itized
    0.88
    ize
    0.87
    ism
    0.87
    Activations Density 0.051%

    No Known Activations