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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. 24279
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    Explanations

    words related to inclusion or involvement in a group or activity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "include" and its variations

    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
    bell
    -0.74
    SPONSORED
    -0.72
    uer
    -0.66
    athy
    -0.65
    ils
    -0.64
    iet
    -0.64
    ionic
    -0.64
    ieties
    -0.63
    sy
    -0.63
    stal
    -0.63
    POSITIVE LOGITS
     everything
    0.82
     prominently
    0.80
    lihood
    0.77
     plenty
    0.71
    :-
    0.70
     aspects
    0.70
     provisions
    0.69
     both
    0.68
     lots
    0.66
     some
    0.63
    Activations Density 0.098%

    No Known Activations