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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. 6639
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    INDEX
    Explanations

    phrases expressing emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    details about evaluations, responses, and outcomes related to decisions and events

    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
    iliated
    -0.74
    igate
    -0.66
    ornia
    -0.63
    interrupted
    -0.63
    uments
    -0.62
    emies
    -0.59
    ificantly
    -0.59
    itory
    -0.58
    orno
    -0.56
    aneously
    -0.56
    POSITIVE LOGITS
     antics
    0.88
     sincerity
    0.73
     honesty
    0.69
    eness
    0.68
     inconsistency
    0.68
     temptation
    0.68
     arrang
    0.67
     motives
    0.67
     portrayal
    0.67
     pitfalls
    0.67
    Activations Density 0.720%

    No Known Activations