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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the name "Nehru"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Nehru" along with references to contentious or inflammatory topics

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

    No Comments

    Negative Logits
     compr
    -0.87
    arate
    -0.82
    illac
    -0.81
    alach
    -0.78
    llan
    -0.75
    eca
    -0.74
    iller
    -0.72
    een
    -0.72
    eled
    -0.71
    owner
    -0.70
    POSITIVE LOGITS
    ãĥ³ãĤ¸
    0.75
    osure
    0.74
    sson
    0.69
     Memor
    0.69
    ãĥ¼ãĥĨ
    0.68
    COL
    0.66
    itial
    0.65
    ãĤ¤
    0.64
    ãĤ¹
    0.64
    usage
    0.64
    Activations Density 0.027%

    No Known Activations