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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. 6067
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    Explanations

    negative terms describing groups or individuals who are strongly opinionated or radical in their beliefs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various social and political groups, particularly those expressing strong ideological beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     bilateral
    -0.80
    forestation
    -0.70
    ãĥ¼ãĥ³
    -0.68
     LIFE
    -0.67
    angan
    -0.67
    Relations
    -0.65
    Owner
    -0.64
    Scene
    -0.63
    Delivery
    -0.62
    Performance
    -0.62
    POSITIVE LOGITS
    ervatives
    1.55
    ervative
    1.33
     who
    1.28
     alike
    1.19
    hip
    1.14
    paces
    1.13
     rejoice
    1.09
     everywhere
    1.08
     whom
    1.01
    peak
    1.01
    Activations Density 0.237%

    No Known Activations