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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. 11-RES-JB
    11. 245
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    Explanations

    phrases related to walls or barriers

    oai_token-act-pair · gpt-3.5-turbo

    references to walls or structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arse
    -0.88
    Lear
    -0.84
     Duc
    -0.84
    Nob
    -0.84
    ovy
    -0.82
     ACE
    -0.81
    akin
    -0.80
    ortunate
    -0.80
    hon
    -0.78
    à¤
    -0.77
    POSITIVE LOGITS
    Wall
    2.43
     Wall
    2.38
    wall
    1.96
     wall
    1.88
     Walls
    1.72
     Wallace
    1.66
     wallpaper
    1.44
     walls
    1.40
     WS
    1.21
    Wal
    1.16
    Activations Density 0.192%

    No Known Activations