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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. 12359
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    Explanations

    verbs or nouns related to destruction or forceful action

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with physical damage or destruction

    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
    las
    -0.88
    rium
    -0.81
    olas
    -0.77
    rament
    -0.76
    rams
    -0.75
    haw
    -0.75
    lus
    -0.73
    ridges
    -0.73
    onomic
    -0.73
    erness
    -0.73
    POSITIVE LOGITS
    anguage
    0.74
    iflower
    0.69
    ï¸ı
    0.66
    vier
    0.66
    ible
    0.65
    anches
    0.65
    itional
    0.65
    ITE
    0.63
    ãĥ´ãĤ¡
    0.63
     Soup
    0.61
    Activations Density 0.114%

    No Known Activations