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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. 8-RES-JB
    11. 4080
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    Explanations

    personal stories or anecdotes, particularly about family members

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal loss or grief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accordingly
    -0.96
     nonetheless
    -0.88
    ).[
    -0.83
     thereafter
    -0.80
    sequently
    -0.77
    ²¾
    -0.76
     moreover
    -0.75
     furthermore
    -0.71
     nevertheless
    -0.70
     latter
    -0.69
    POSITIVE LOGITS
     daddy
    0.65
     Thanksgiving
    0.64
     Disneyland
    0.64
     tv
    0.63
     english
    0.62
     DEAD
    0.62
     pillow
    0.60
     boobs
    0.60
     Halloween
    0.58
     toilet
    0.58
    Activations Density 1.752%

    No Known Activations