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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. 21351
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    Explanations

    proper nouns related to individuals and their history of service

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "serve" and its variations related to roles or positions held by individuals

    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
    razil
    -0.67
    arest
    -0.65
    Ĥİ
    -0.64
    vu
    -0.64
    eros
    -0.63
     Loren
    -0.63
    seed
    -0.61
    ophe
    -0.60
    orph
    -0.60
    show
    -0.59
    POSITIVE LOGITS
     horm
    0.79
     Serving
    0.79
    iments
    0.77
    lyak
    0.75
    itures
    0.74
     showc
    0.71
    maid
    0.71
     SERV
    0.70
    rano
    0.70
     served
    0.70
    Activations Density 0.018%

    No Known Activations