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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. 2686
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    Explanations

    words related to autopilots and advanced technological systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to automation and assistance technologies

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨ
    -0.78
     Apprentice
    -0.71
     Lauder
    -0.70
     Rus
    -0.67
     Nightmares
    -0.67
     Duchess
    -0.67
     Dynamics
    -0.66
     bore
    -0.65
    âĸ¬âĸ¬
    -0.64
     deceive
    -0.64
    POSITIVE LOGITS
    resent
    1.27
    ublic
    1.22
    olicy
    1.18
    olitics
    1.15
    ensions
    1.14
    heric
    1.13
    heres
    1.10
    ortun
    1.09
    yright
    1.08
    rote
    1.07
    Activations Density 0.049%

    No Known Activations