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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. 11-RES-JB
    11. 6350
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    INDEX
    Explanations

    information attributed to sources or individuals in a news context

    oai_token-act-pair · gpt-3.5-turbo

    references to information sources in reporting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osate
    -0.67
    ategory
    -0.66
    \/\/
    -0.63
    quished
    -0.63
     Shutterstock
    -0.61
    odor
    -0.61
    REG
    -0.60
    bones
    -0.60
    ertodd
    -0.60
    packs
    -0.59
    POSITIVE LOGITS
     familiar
    1.22
     close
    1.20
     briefed
    1.13
     priv
    1.01
     knowledgeable
    0.99
    close
    0.97
     told
    0.96
     intim
    0.95
     informed
    0.93
     confirmed
    0.88
    Activations Density 0.054%

    No Known Activations