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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15025
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    Explanations

    adjectives or adverbs describing actions or qualities in a negative context

    oai_token-act-pair · gpt-3.5-turbo

    instances of "large" creatures in descriptions, particularly related to Pokémon

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anders
    -0.70
    ategory
    -0.67
    conservancy
    -0.61
    anners
    -0.60
    ulhu
    -0.59
    annis
    -0.59
    illon
    -0.59
    REL
    -0.57
    aterial
    -0.56
     mosqu
    -0.56
    POSITIVE LOGITS
    ly
    3.50
    LY
    2.36
    fully
    1.57
    lys
    1.57
    lies
    1.49
    edly
    1.48
    liness
    1.46
    ELY
    1.41
    ously
    1.36
    lly
    1.36
    Activations Density 0.408%

    No Known Activations