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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. 4-RES-JB
    11. 12472
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    INDEX
    Explanations

    words related to criticism or negative judgment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment or condemnation

    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
    ás
    -0.59
    izon
    -0.58
    rez
    -0.53
    adelphia
    -0.52
    unity
    -0.50
    ocene
    -0.49
     Framework
    -0.47
    DonaldTrump
    -0.47
    ajo
    -0.47
    trak
    -0.47
    POSITIVE LOGITS
     alike
    1.17
     thereof
    0.80
     consequently
    0.70
     consequ
    0.69
     accordingly
    0.68
     respectively
    0.67
     versa
    0.65
     thereto
    0.63
     thereafter
    0.63
     ensuing
    0.58
    Activations Density 1.433%

    No Known Activations