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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. 3-RES-JB
    6. 10156
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    Explanations

    actions related to improvement or change

    oai_token-act-pair · gpt-3.5-turbo

    references to progress and improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    don
    -0.36
     mun
    -0.34
    ãĥ³ãĤ¸
    -0.34
     Cunning
    -0.33
    isl
    -0.33
    ãĥ¼ãĥĨãĤ£
    -0.32
    ©¶æ
    -0.32
    equ
    -0.31
     sole
    -0.31
    elve
    -0.30
    POSITIVE LOGITS
    iatus
    0.49
    natureconservancy
    0.48
    NetMessage
    0.46
    APD
    0.44
    atform
    0.42
    terness
    0.41
    ĵĺ
    0.39
    Enlarge
    0.39
    earable
    0.39
    arcer
    0.39
    Activations Density 3.816%

    No Known Activations