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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. 7-RES-JB
    6. 6760
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    Explanations

    phrases related to public criticism and social commentary

    oai_token-act-pair · gpt-3.5-turbo

    instances of criticism or discussion related to social norms and behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.74
    hiba
    -0.67
    staking
    -0.63
    soDeliveryDate
    -0.60
    çͰ
    -0.55
    usa
    -0.55
    ilogy
    -0.53
    era
    -0.53
    ortium
    -0.53
    likely
    -0.52
    POSITIVE LOGITS
     anymore
    1.16
     nor
    0.87
     frivol
    0.84
     blindly
    0.80
     unnecessarily
    0.74
     crap
    0.68
     frivolous
    0.66
     anytime
    0.66
     anything
    0.64
     crappy
    0.62
    Activations Density 1.501%

    No Known Activations