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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. 6-RES-JB
    6. 10622
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    INDEX
    Explanations

    mentions of the word "water"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to water or water-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ured
    -0.80
    urers
    -0.69
    ures
    -0.66
    _>
    -0.64
    Disk
    -0.63
    uration
    -0.62
     edible
    -0.60
     diabetic
    -0.60
     fung
    -0.60
    berman
    -0.59
    POSITIVE LOGITS
    pillar
    1.08
    IAL
    0.96
    apy
    0.91
    ickson
    0.90
    idon
    0.90
    geist
    0.84
    pill
    0.82
    eor
    0.80
    dam
    0.79
    ater
    0.78
    Activations Density 0.025%

    No Known Activations