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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. 5-RES-JB
    6. 22935
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    Explanations

    mentions of the word "water"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "ater" likely indicating references to water or related topics

    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
    Disk
    -0.68
    ured
    -0.67
    ures
    -0.66
     diabetic
    -0.64
     Chao
    -0.62
    INS
    -0.62
     fung
    -0.61
     sanity
    -0.60
    Ko
    -0.60
     Pigs
    -0.60
    POSITIVE LOGITS
    pillar
    1.09
    IAL
    0.97
    ater
    0.93
    apy
    0.93
    ickson
    0.90
    idon
    0.88
    eor
    0.86
    iatus
    0.85
    apter
    0.84
    ites
    0.84
    Activations Density 0.018%

    No Known Activations