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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. 24312
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    Explanations

    phrases related to data plans and electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to usage metrics or consumption rates

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    "]=>
    -0.66
    esity
    -0.65
     autism
    -0.60
     WOM
    -0.59
     :=
    -0.58
    osaurs
    -0.57
    nai
    -0.57
    orsche
    -0.57
    ilogy
    -0.56
     sexually
    -0.54
    POSITIVE LOGITS
    register
    0.59
     quota
    0.56
    lator
    0.55
    link
    0.55
     subcontract
    0.54
    oscope
    0.53
     notation
    0.53
    Methods
    0.53
     intermediary
    0.53
    params
    0.53
    Activations Density 1.045%

    No Known Activations