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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. 11-RES-JB
    11. 12320
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    INDEX
    Explanations

    mentions of futuristic concepts and advanced technologies

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to future events and technological themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.60
    ipl
    -0.56
    illo
    -0.56
    aterasu
    -0.55
    cro
    -0.53
    Americ
    -0.53
    dozen
    -0.53
    Ö
    -0.52
    pei
    -0.51
    xs
    -0.51
    POSITIVE LOGITS
    !,
    0.85
     whilst
    0.81
     Whilst
    0.78
    !.
    0.77
    !",
    0.74
    .",
    0.73
     respectively
    0.69
     !!
    0.68
     !
    0.68
    !!
    0.67
    Activations Density 0.804%

    No Known Activations