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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. 10-RES-JB
    11. 4848
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    Explanations

    sentences describing people who are working hard or trying to cause harm

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cooldown
    -0.78
    ļéĨĴ
    -0.75
    availability
    -0.75
    rection
    -0.72
     Pair
    -0.70
    etheless
    -0.68
    interstitial
    -0.66
    ridor
    -0.65
    asus
    -0.65
    Zone
    -0.65
    POSITIVE LOGITS
     themselves
    1.38
     careers
    1.38
     lifestyles
    1.26
     agendas
    1.11
     their
    1.11
     lives
    1.04
     THEIR
    1.04
    their
    1.04
     professions
    1.03
     livelihood
    1.02
    Activations Density 0.485%

    No Known Activations