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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. 6-RES-JB
    6. 6107
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    Explanations

    the term "yum" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases or words related to the word "um"

    oai_token-act-pair · gpt-3.5-turbo
    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
    cffff
    -0.71
     blackout
    -0.71
     strawberries
    -0.71
    IGHTS
    -0.63
     Cosponsors
    -0.63
     resemb
    -0.63
     unaff
    -0.62
     straw
    -0.62
     kW
    -0.60
     impunity
    -0.60
    POSITIVE LOGITS
    mers
    1.21
    ming
    1.16
    pty
    1.08
    mary
    0.91
    ptive
    0.90
    mate
    0.90
    atism
    0.90
    mit
    0.88
    mer
    0.88
    essage
    0.86
    Activations Density 0.043%

    No Known Activations