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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    words or phrases with the specific sequence "ose"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lose" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.65
    DERR
    -0.65
    Ħ¢
    -0.64
    è¦ļéĨĴ
    -0.62
    enberg
    -0.61
    ById
    -0.61
     MFT
    -0.59
    evin
    -0.58
    hips
    -0.58
    LOD
    -0.56
    POSITIVE LOGITS
    velt
    1.01
    ose
    0.93
    cond
    0.89
    lect
    0.87
    ppel
    0.86
    ppe
    0.84
    lihood
    0.84
    pty
    0.83
    eker
    0.82
    OPLE
    0.79
    Activations Density 0.009%

    No Known Activations