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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. 10-RES-JB
    11. 22155
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    Explanations

    the presence of the word "compete"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ----------
    -0.60
     Friendship
    -0.60
     Anger
    -0.57
    relation
    -0.57
    %%%%
    -0.57
     Helpful
    -0.56
     Mercenary
    -0.55
    =-=-=-=-=-=-=-=-
    -0.54
    activation
    -0.53
    agh
    -0.53
    POSITIVE LOGITS
     against
    1.28
    against
    1.07
     fiercely
    1.03
     Against
    0.95
     valiant
    0.93
     tooth
    0.91
    Against
    0.90
     athlet
    0.89
     internationally
    0.86
     vigorously
    0.86
    Activations Density 0.030%

    No Known Activations