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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. 4-RES-JB
    6. 19373
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    INDEX
    Explanations

    phrases related to forceful criticism or impact

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "slam" and its variations, related to critiques or strong negative reactions

    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
     Aware
    -0.71
    lement
    -0.69
     Expend
    -0.67
    abet
    -0.66
    lements
    -0.66
    vernment
    -0.65
    ramer
    -0.65
     Represent
    -0.65
     Occupations
    -0.64
    xus
    -0.63
    POSITIVE LOGITS
     dunk
    1.02
     slams
    0.85
     slammed
    0.83
     hitters
    0.79
     shut
    0.79
     slam
    0.79
     slamming
    0.75
    onite
    0.75
     smack
    0.75
     Dunk
    0.74
    Activations Density 0.016%

    No Known Activations