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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. 17435
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    INDEX
    Explanations

    phrases related to actions or events happening in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    expressions of curiosity and inquiry

    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
    allo
    -0.58
    etheless
    -0.55
    whatever
    -0.53
    nesia
    -0.50
     Benghazi
    -0.50
     PRESIDENT
    -0.48
    [/
    -0.48
     sooner
    -0.48
    And
    -0.48
     Millions
    -0.48
    POSITIVE LOGITS
    agram
    0.57
    ulia
    0.54
    okingly
    0.52
     surveyed
    0.50
    earch
    0.49
    pires
    0.49
    ograp
    0.48
    ractor
    0.47
    ãĥĦ
    0.47
    gro
    0.47
    Activations Density 0.877%

    No Known Activations