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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. 3-RES-JB
    11. 13565
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    Explanations

    phrases indicating the importance or relevance of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "matter" or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olkien
    -0.76
    ARK
    -0.68
    inka
    -0.65
    ahime
    -0.64
    ãĥ³ãĤ¸
    -0.64
    adier
    -0.63
    ades
    -0.63
    nikov
    -0.63
    odan
    -0.62
    ARP
    -0.62
    POSITIVE LOGITS
    enance
    0.92
     matters
    0.80
     Matter
    0.78
    ional
    0.78
    weights
    0.76
    lessly
    0.75
    matter
    0.73
     matter
    0.73
    heet
    0.70
    ively
    0.69
    Activations Density 0.018%

    No Known Activations