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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. 14049
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    Explanations

    phrases related to physical locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with decorations, particularly in the context of art and gardens

    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
     Tackle
    -0.71
    IRO
    -0.71
    miah
    -0.70
    çīĪ
    -0.69
    MQ
    -0.69
    cloth
    -0.68
     Forces
    -0.65
    bone
    -0.65
    igslist
    -0.64
     TTL
    -0.62
    POSITIVE LOGITS
    amental
    0.97
    itory
    0.96
    ation
    0.81
    ated
    0.81
    ery
    0.81
    enos
    0.81
    vertisement
    0.78
    ership
    0.78
    ellery
    0.77
    unci
    0.75
    Activations Density 0.031%

    No Known Activations