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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. 7-RES-JB
    11. 14110
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    content related to difficult or sensitive topics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    issions
    -0.71
     Owners
    -0.70
    taboola
    -0.67
    raints
    -0.67
     advis
    -0.66
     Sequence
    -0.65
    nosis
    -0.64
    ocobo
    -0.63
    ission
    -0.63
    osponsors
    -0.62
    POSITIVE LOGITS
     embattled
    1.00
     ravaged
    0.90
     fledgling
    0.89
     venerable
    0.88
     fraught
    0.88
     millennia
    0.85
     struggling
    0.84
     nation
    0.81
     doomed
    0.81
     impoverished
    0.81
    Activations Density 1.233%

    No Known Activations