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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. 11-RES-JB
    11. 11226
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    Explanations

    sentences related to news coverage and journalistic practices

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to media practices and journalistic integrity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pen
    -0.74
    çĶ°
    -0.74
    iple
    -0.71
     Mechan
    -0.70
    amiya
    -0.70
     Signed
    -0.69
    ©¶æ¥µ
    -0.68
    uni
    -0.68
    ¶ħ
    -0.68
     Delay
    -0.65
    POSITIVE LOGITS
     factual
    1.43
     news
    1.41
    stories
    1.38
     stories
    1.35
     satire
    1.34
     journalism
    1.33
     unbiased
    1.32
     coverage
    1.29
     viewpoints
    1.29
     truthful
    1.29
    Activations Density 0.577%

    No Known Activations