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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. 2-RES-JB
    11. 15268
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    Explanations

    mentions of specific words or phrases related to a specific topic or concept, in this case, the term "Fut" and some related terms or contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of futurism and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sclerosis
    -0.87
    apy
    -0.79
     waters
    -0.76
    ysis
    -0.76
    gow
    -0.75
    è£ħ
    -0.75
    wine
    -0.69
    whel
    -0.68
     thirsty
    -0.66
    realDonaldTrump
    -0.66
    POSITIVE LOGITS
    ility
    1.07
    ures
    1.00
     Fut
    0.97
    selage
    0.92
    urity
    0.90
    rique
    0.87
    rik
    0.79
    uristic
    0.79
    emonium
    0.78
     fut
    0.78
    Activations Density 0.009%

    No Known Activations