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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. 2-RES-JB
    6. 18535
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    Explanations

    phrases indicating adequacy or insufficiency

    oai_token-act-pair · gpt-3.5-turbo

    the word "enough" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amon
    -0.80
    minist
    -0.68
    cul
    -0.67
    tar
    -0.64
    destruct
    -0.64
    occ
    -0.64
    men
    -0.63
    bull
    -0.63
    misc
    -0.63
    folk
    -0.63
    POSITIVE LOGITS
    osponsors
    0.71
     ILCS
    0.68
    inventoryQuantity
    0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.64
     dstg
    0.64
     assembly
    0.64
     convinc
    0.64
    azaki
    0.63
    ashtra
    0.62
     assurances
    0.60
    Activations Density 0.028%

    No Known Activations