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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. 9-RES-JB
    11. 20105
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    INDEX
    Explanations

    positive sentiments and expressions of love towards different subjects

    oai_token-act-pair · gpt-3.5-turbo

    coordinating conjunctions, particularly 'and', indicating a connection or continuation of thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 9 - love

    No Comments

    Negative Logits
    qqa
    -0.77
    Parameter
    -0.75
    utor
    -0.73
    atars
    -0.72
    Narr
    -0.70
    NER
    -0.70
    ¶
    -0.68
    URR
    -0.67
    imester
    -0.67
    ummer
    -0.67
    POSITIVE LOGITS
     preferring
    1.20
     despise
    1.19
     dislike
    1.18
     hates
    1.17
     adore
    1.10
     crave
    1.08
     desire
    0.99
     cherish
    0.99
     prefers
    0.98
     abhor
    0.97
    Activations Density 0.382%

    No Known Activations