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    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. 4773
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    INDEX
    Explanations

    mentions of influential or important figures, specifically focusing on the term "prime"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "prime" in various contexts

    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
    anwhile
    -0.85
     Canaver
    -0.81
    urrencies
    -0.76
    oldemort
    -0.76
    iasco
    -0.75
    ciplinary
    -0.73
    ansson
    -0.72
    ombs
    -0.71
    iquid
    -0.71
    schild
    -0.70
    POSITIVE LOGITS
    knit
    0.88
     minister
    0.85
    val
    0.83
     ministerial
    0.76
     ministers
    0.74
     prime
    0.73
    etime
    0.73
    mun
    0.71
    efully
    0.68
    time
    0.68
    Activations Density 0.010%

    No Known Activations