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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. 24103
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    Explanations

    personal pronouns related to oneself and others

    oai_token-act-pair · gpt-3.5-turbo

    pronouns indicating the subject of sentences

    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
     appellant
    -0.69
    Contents
    -0.65
     �
    -0.63
    ~~~~
    -0.61
     ..
    -0.59
    peak
    -0.59
    OME
    -0.57
    ³³³³
    -0.56
     !!
    -0.55
     âĢ
    -0.55
    POSITIVE LOGITS
    'll
    1.75
    're
    1.65
    'd
    1.53
    've
    1.52
    'm
    1.33
    't
    1.00
    's
    0.99
     ain
    0.97
    Enlarge
    0.92
     hasn
    0.90
    Activations Density 0.897%

    No Known Activations