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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. 5-RES-JB
    6. 16023
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    Explanations

    adjectives with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    references to biased perspectives and dimensions in discussions or arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.87
    ombs
    -0.85
    KEN
    -0.84
    gone
    -0.80
    eeks
    -0.76
    iques
    -0.73
    heon
    -0.72
    worthy
    -0.72
    TON
    -0.71
    KER
    -0.71
    POSITIVE LOGITS
    sided
    0.86
    imensional
    0.81
    adoes
    0.76
     ide
    0.67
     differe
    0.67
    ness
    0.67
    vantage
    0.66
     Yamato
    0.65
     plank
    0.64
     "{
    0.63
    Activations Density 0.030%

    No Known Activations