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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. 3-RES-JB
    11. 23278
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    Explanations

    words related to negligence and inaction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lack of regulation and accountability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    waves
    -0.84
    hung
    -0.80
    realDonaldTrump
    -0.75
    saw
    -0.75
    flies
    -0.75
    dress
    -0.74
    speech
    -0.70
    ORN
    -0.70
    hair
    -0.68
    cry
    -0.68
    POSITIVE LOGITS
    atives
    1.06
     lax
    1.04
    ative
    1.03
    acies
    1.02
    ativity
    0.91
    glers
    0.84
    iencies
    0.84
    ulent
    0.83
    acy
    0.83
    igue
    0.81
    Activations Density 0.013%

    No Known Activations