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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. 6-RES-JB
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    Explanations

    the word "repeal"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "repeat."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     dust
    -0.77
    doms
    -0.73
    IELD
    -0.68
     Harrington
    -0.68
     guiActiveUnfocused
    -0.64
     Ashes
    -0.64
     Blooming
    -0.64
    roots
    -0.64
     Seraph
    -0.64
    stones
    -0.63
    POSITIVE LOGITS
    ating
    1.08
    issance
    1.05
    ety
    1.02
    ated
    1.01
    ational
    1.00
    İ
    0.97
    at
    0.96
    atives
    0.95
    aten
    0.93
    aters
    0.92
    Activations Density 0.062%

    No Known Activations