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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20936
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    Explanations

    phrases related to abnormality, sickness, intention, affection, environment, maniac behavior, and horrific events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to abnormalities and emotional connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Genocide
    -0.61
     palms
    -0.60
    packing
    -0.57
     Cheong
    -0.57
     menstrual
    -0.56
    rooms
    -0.56
    >>>>>>>>
    -0.55
     Bush
    -0.54
    FFER
    -0.54
     straw
    -0.54
    POSITIVE LOGITS
    ally
    1.98
    ality
    1.82
    alities
    1.52
    ately
    1.47
    als
    1.41
    nel
    1.35
    alist
    1.33
    al
    1.23
    atively
    1.22
    arily
    1.22
    Activations Density 0.117%

    No Known Activations