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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. 2-RES-JB
    11. 13426
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    Explanations

    pronouns indicating possession or direct object

    oai_token-act-pair · gpt-3.5-turbo

    references to "them" in various contexts, indicating a focus on entities or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.75
    âĺħâĺħ
    -0.74
    SPA
    -0.72
    Party
    -0.70
    amer
    -0.70
    Iowa
    -0.67
     Stick
    -0.65
    order
    -0.65
    execute
    -0.64
    mire
    -0.64
    POSITIVE LOGITS
     selves
    1.22
    atically
    1.17
    selves
    1.14
    atic
    1.05
    self
    0.90
     conduc
    0.85
    awaru
    0.73
     eleph
    0.71
     aest
    0.71
    atics
    0.71
    Activations Density 0.093%

    No Known Activations