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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 845
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    INDEX
    Explanations

    mentions of educated individuals or the concept of education

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to education and informed decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imposed
    -0.79
     cumbers
    -0.65
    eeper
    -0.64
    hedral
    -0.64
    boss
    -0.64
     minimized
    -0.64
     istg
    -0.63
    ette
    -0.60
    pload
    -0.60
    interstitial
    -0.58
    POSITIVE LOGITS
     guesses
    1.11
    liter
    0.84
     Consent
    0.83
    otle
    0.76
    LECT
    0.74
     educated
    0.73
    renheit
    0.71
     populace
    0.70
    ourgeois
    0.69
     guess
    0.69
    Activations Density 0.085%

    No Known Activations